Topic: "imageclassification"
ThinamXx/MachineLearning_DeepLearning
I will share about Machine Learning and Deep Learning.
Size: 7.47 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 112 - Forks: 38
Nicholasli1995/VisualizingNDF
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
Language: Python - Size: 10.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 66 - Forks: 20
SartajBhuvaji/Brain-Tumor-Classification-Using-Deep-Learning-Algorithms
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
Language: Jupyter Notebook - Size: 74.3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 24
tanmoyopenroot/cancer_nn
Skin Lesion Analysis Towards Melanoma Detection
Language: Python - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 32 - Forks: 20
narenkhatwani/FoodAayush
This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository
Language: Python - Size: 108 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 29 - Forks: 4
dehaoterryzhang/Image_Classification_App
Build a image classification python web app with Streamlit and PyTorch :cat: :dog:
Language: Python - Size: 5.78 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 21 - Forks: 12
ffiirree/cv-models
Models for Computer Vision
Language: Python - Size: 685 KB - Last synced at: 19 days ago - Pushed at: 6 months ago - Stars: 19 - Forks: 2
ShivaBhattacharjee/WasteEasy
WasteEasy is an app designed to streamline waste management. Developed during the Envision Hackathon, it focuses on waste classification and encourages proper waste segregation. Users can earn points or coupons by utilizing WasteEasy for their waste disposal needs.
Language: TypeScript - Size: 1.48 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 19 - Forks: 6
KrishArul26/Motorbike-Helmet_detection-using-YOLOV3
This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.
Language: Python - Size: 70.1 MB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 3
arnabdeypolimi/Image-classification-PyTorch-MLflow
Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial
Language: Jupyter Notebook - Size: 146 KB - Last synced at: 17 days ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 2
sharmaroshan/Weed-Detection
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 9
rushilrai/A2E
American Sign Language to English real time Conversion App
Language: Dart - Size: 95.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2
farazahmeds/Classification-of-brain-tumor-using-Spatiotemporal-models
Classification of brain tumor in MR images using deep spatiospatial models.
Language: Python - Size: 733 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2
GECCOProject/GECCO
GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564
Language: Python - Size: 41 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 10 - Forks: 0
azarafath/Flutter-Skined
Aplikasi deteksi penyakit kulit menggunakan AI. Dibuat untuk menyelesaikan Tugas Akhir AI Mastery Program Orbit Future Academy X SIB Kampus Merdeka 2022.
Language: Dart - Size: 9.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 1
theunicorndev237/ml-Image-classification-model
Image Classification Model
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 0
francismontalbo/fused-densenet-tiny
A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.
Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 5
arijitgupta42/Rasoee
PyTorch Global Summer Hackathon 2020 Second Prize Winner in Mobile/Web Application Category
Language: Jupyter Notebook - Size: 318 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3
LahiRumesh/simple_cnn
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
Language: Python - Size: 58.6 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2
kingardor/Beatbox-Classifier-Mel-Spectogram
Classify Beatbox Genre using Mel Spectograms and Resnet18 Classifier
Language: Jupyter Notebook - Size: 296 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 5
SartajBhuvaji/Early-Plant-Disease-Detection-Using-Transfer-Learning
CPSC 5305 01 22FQ Introduction to Data Science Project
Language: Jupyter Notebook - Size: 72.3 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 6 - Forks: 2
DanielMartensson/jFaces
Use jFaces to predict unknown images by training a set of images
Language: Java - Size: 8.6 MB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1
knotgrass/Knowledge-Distillation
Implementation of Distilling the Knowledge in a Neural Network https://arxiv.org/pdf/1503.02531.pdf
Language: Python - Size: 143 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0
gulabpatel/Computer_Vision
Image Classification, Object Detection, Image Segmentation, Instance Segmentation and Pose Estimation
Language: Jupyter Notebook - Size: 124 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0
maxmudovmustafa/Face_recognition
For questions please contact: [email protected]
Language: Python - Size: 127 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
NahidEbrahimian/Cars-Classification-tensorflow
Iranian Cars Classification using Tensorflow - Transfer learning
Language: Jupyter Notebook - Size: 7.02 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
dsabarinathan/Ultrasound-Image-Classification
Thyroid Nodule image Classification based on Geometric and Morphological Features
Language: MATLAB - Size: 6.24 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
SchoolofAI-Vancouver/learn_image_classification_2
Vancouver School of AI - Image Classification Series 2
Language: Jupyter Notebook - Size: 3.92 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2
Ruben2163/Minecraft-Seed-Finder
minecraft seed finder
Language: Python - Size: 589 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
Islam-hady9/BrainTumorDetection-API
Brain Tumor Detection using CNN & FastAPI.
Language: Jupyter Notebook - Size: 61.8 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
jyu-theartofml/ISIC_melanoma
Binary classifier of melanoma
Language: Python - Size: 2.44 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1
weihan07/Ripeness-Classification-of-Oil-Palm-Fruits-Bunch
This project aimed to classify the ripeness stages of oil palm fruit bunch. It trains the model using the Google Teachable Machine (GTM) platform. This deep learning model able to classify oil palm fruit ripeness with 96% accuracy.
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
ArtemVerbov/Knowledge-Distillation-X-Lightning
Knowledge distillation pytorch lightning template for image classification task
Language: Python - Size: 498 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
KKeshav1101/DeepLearning
Projects from Deep Learning for Coders
Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
totheuniversal/Gender-Classification-Application-with-flask
This is all of my study about machine learning
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Diodak92/Image-Classifier
Second project on Udacity Nanodeegre program - Introduction to Python for AI Programmers
Language: Jupyter Notebook - Size: 424 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
Vatshayan/Final-Year-Project-Image-Recognition
Machine Learning project to recognize faces from an Image
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
codingcafe1/avengers
Flutter Avenger App - Android & iOS Deep Learning and Machine Learning App - All Marvel Hollywood Avengers Actors & Actresses Recogniser App
Language: Dart - Size: 724 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 3
abd1007/Image-Classification-PyTorch
Intro to PyTorch | Build an Image Classification Model using Convolutional Neural Networks in PyTorch
Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1
sharmaroshan/Fashion-Class-Classification
Context Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.
Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1
aarontoms/Plant-Disease-Detection-Model
Short guide on how to train model using Python TensorFlow and the training data. Also has code to split, train, test and convert the .h5/.keras to .tflite
Language: Python - Size: 76.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
ArmaanMoledin63/Waste-categories-dataset
Dataset Publication on Kaggle
Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
777Denoiser/VisionVerse-Neural-Net-Helio-Optics
VisionVerse is a versatile tool that integrates image captioning, pre-trained image classification, and text-to-image generation.
Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
Islam-hady9/image-classifier-gui-app
Simple Machine Learning GUI App with Taipy and Tensorflow
Language: Jupyter Notebook - Size: 61.8 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
kev-nat/Malaria-Detection-using-CNN
Using CNN for image classification
Language: Jupyter Notebook - Size: 737 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
dilkushsingh/Facial_Emotion_Dataset
An annotated collection of facial images categorized by emotions.
Size: 51 MB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
abbasshafi/Projects
Language: Jupyter Notebook - Size: 98.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1
neerajcodes888/Cat-Vs-Dog-Image-Classification
Repository for a deep learning model that classifies images as either cats or dogs using deep learning techniques. The model is trained on a diverse dataset and achieves high accuracy in distinguishing between these two popular pet categories. Includes pre-processing scripts, model architecture, and evaluation metrics for seamless implementation
Language: Jupyter Notebook - Size: 451 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1
TheODDYSEY/Image-Segmentation-PyTorch-Transformers
Semantic Segmentation with Segformers
Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
HimanshuRaj98/book-genre-classification
This GitHub repository contains code for a book genre classification project using the VGG16 deep learning model. The project aims to classify books into various genres based on their cover images. The dataset used for training and testing the model consists of 30 book genres.
Language: Jupyter Notebook - Size: 392 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
NagiPragalathan/animal_prediction
Animal Prediction is a web application developed using Python and Django that allows users to predict the animal species based on uploaded photos. The application utilizes machine learning algorithms to analyze the image data and provide accurate predictions.
Language: HTML - Size: 72.1 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2
iya30n/mentha
An image classification app in GoLang + Tensorflow
Language: Go - Size: 25.4 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
zeynepturkmen/AI-SummerCamp-22 Fork of berfinozkok/AI_SummerCamp_22
Global AI Hub Summer Camp 2022 Projects
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filippodaniotti/DL-domain-adaptation
Machine Learning mod. 2: Deep Learning - UniTN - Prof. Ricci- MSc AIS 2022
Language: Jupyter Notebook - Size: 1.71 GB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
VeronicaIovchik/Image_classification
Image classification - cats and dogs
Language: Jupyter Notebook - Size: 7.37 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
DorisDuan06/Stanford-CS231n-Convolutional-Neural-Networks-for-Visual-Recognition
cs231n assignments.
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
Anustup900/Image-processing-
Image Classification using Keras as well as Tensorflow. Image Classification is a Machine Learning module that trains itself from an existing dataset of multiclass images and develops a model for future prediction of similar images not encountered during training. Developed using Convolutional Neural Network (CNN).
Language: Python - Size: 24.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
cs-cse/CheckMyCash
CheckMyCash is an android app that detects indian curency note denomination using image classification.
Language: Java - Size: 56.8 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1
abhishek-topwal/Image-Classification-using-CNN-and-Resnet
A classifier is trained to identify land use and land cover in the EuroSAT Dataset. A Convolutional Neural Network (CNN) is implemented and a fine-tune Resnet model is also used for this image classification task.
Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
robmanch/COVID-19-detection-in-Chest-X-Ray-images-using-majority-voting-based-classifier
The goal is to build an automatic screening system that can classify the given patient as a corona positive or negative. The input to our model is the chest x-ray images, and various models (machine learning and deep learning) have been used to predict the output (0 for normal, 1 for Corona).
Language: Jupyter Notebook - Size: 3.72 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
francofgp/Machine-Learning-Cyrillic-Classifier
This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.
Language: Python - Size: 162 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
Farouq-BENCHALLAL/Efficient-B7-Notebook-Version-2
Efficient b7 Training, Transfer Learning
Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
AdityaTheDev/BrainTumorSegmentation-using-Transfer-Learning
Brain Tumor Segmentation using Transfer learning. Image segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. Brain Tumor Segmentation is a multi-class problem and this model classifies Gliomia tumor, Meningomia Tumor, Pituitary tumor and No tumor with an accuracy of 93%.
Language: Jupyter Notebook - Size: 227 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
easykeys/EasyKeys.KeysClassificationML
EasyKeys.com Inc classification model for image processing
Language: C# - Size: 5.49 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
kulin-patel/Fashion-Class-Classification
classification of fashion data(28 x28 greyscale image) into 10 classes.
Language: Jupyter Notebook - Size: 3.04 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
MuizAlvi/Machine_Learning_and_Deep_Learning_models
Repository containing models based on ideas of Machine learning and Deep learning
Language: Jupyter Notebook - Size: 938 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
Brice-D/Computer-Vision
Language: Jupyter Notebook - Size: 731 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
DanielMartensson/FisherFaces-Examples
Testing - What can be done with Fisherfaces
Language: MATLAB - Size: 744 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
chaitanyakasaraneni/yelpphotoclassification
Photo Classification and Image Tag Generation on Yelp dataset of 200k images
Language: Jupyter Notebook - Size: 87 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2
HilmiZul/imageClassification
my first image classification
Language: JavaScript - Size: 1.88 MB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
PalashDumbare/PredictCelebrityNames
This is a deep learning project for predicting name from given image.
Language: Jupyter Notebook - Size: 131 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
akeryilmaz/DeepLearningProject
Aalto University CS-E4890 Deep Learning Project: Landmark Classification From Images Using Convolutional Deep Neural Networks
Language: Python - Size: 13.1 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1
akshayush/Image-Text-No-Text-Classification-Sigmoid-Neuron
Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
maddy023/3d-CNN-Bacterical-classification-with-Keras
Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
avinashsai/Min-Max-Convolutional-Neural-Networks
Implementation of Min-Max CNN for Image Classification in Pytorch
Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
xinbinhuang/learn_image_classification Fork of johannesharmse/learn_image_classification
Vancouver School of AI - Image Classification
Language: Python - Size: 6 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1
DavideNardone/MatConvNet
A tensorflow tool for loading some pre-trained models from MatConvNet
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
hskang9/AutoDraw-ios
AutoDraw on iOS
Language: Swift - Size: 14.9 MB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1
delacruzrlkq/Top-5-Full-Stack-Machine-Learning-Project-Ideas
The top 5 full stack machine learning project ideas include building an Image Classification Web Application, where you can classify images into different categories using machine learning algorithms such as Convolutional Neural Networks (CNNs). Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
AllanOtieno254/mnist-digit-classification
building a machine learning model to classify handwritten digits using the MNIST dataset.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
isislab-unisa/XRTourGuide
XRTourGuide sub-project of the EU project FUTURAL https://futural-project.eu/it/
Size: 529 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
Samuelson777/CIFAR-10-Image-Classification
A deep learning project that implements a Convolutional Neural Network (CNN) for image classification on the CIFAR-10 dataset. The model classifies images into 10 categories, showcasing fundamental deep learning techniques and practical applications.
Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
dentitoreto/Learning-PyTorch-workflow-with-optuna-and-wandb-for-image-classification-
This repo contains 3 notebooks for implementing PyTorch workflow for simple image classification problem. It contains basic machine learning project flow and also gets improved by using machine learning platforms like Weights & Biases and Optuna. Dataset that is used in CIFAR10. Model is pretrained ResNet18 neural network.
Language: Jupyter Notebook - Size: 195 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
tech-aakash/Kawasaki_Diseases_Early_Diagnosis
This project focuses on the early screening of Kawasaki Disease (KD) using computer vision and deep learning techniques. KD is a serious illness that primarily affects young children and can lead to life-threatening heart complications if not diagnosed early.
Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
SpellZZZZZ/MushroomImageClassificationApp
An Android App utilising image classification to classify mushrooms.
Language: Jupyter Notebook - Size: 36.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1
steveee27/Multi-Label-Clothing-Classification-Predicting-Type-and-Color
This project focuses on creating a multi-label classification system to categorize clothing images based on type (T-shirt or Hoodie) and color (Red, Yellow, Blue, Black, White). By leveraging advanced deep learning techniques, this solution aims to streamline product categorization for fashion e-commerce platforms like Matos Fashion.
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
steveee27/Fruit-Classification-with-VGG-16-Architecture
This project classifies fruit images into four categories: Acai, Acerola, Apple, and Avocado. Using Convolutional Neural Networks (CNN), it predicts fruit types with VGG-16. The model is optimized with data augmentation, dropout, and batch normalization for better performance and accuracy.
Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
steveee27/Batik-Motif-Classification-Using-Deep-Learning-and-Transfer-Learning
This project involves the use of deep learning models to classify Indonesian batik motifs. By utilizing deep learning techniques such as Convolutional Neural Networks (CNNs) and Transfer Learning, this project aims to automatically identify three well-known batik motifs: Parang, Mega Mendung, and Kawung.
Language: Jupyter Notebook - Size: 26.2 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Projects-Developer/Top-5-Full-Stack-Machine-Learning-Project-Ideas
The top 5 full stack machine learning project ideas include building an Image Classification Web Application, where you can classify images into different categories using machine learning algorithms such as Convolutional Neural Networks (CNNs). Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
shreshthvashisht/Emergency-and-Non-Emergency-vehicle-Classification
This is a Deep Learning image classification model where I have classified the images of Emergency and Non Emergency vehicles
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
somisettijahnavi16/computer-vision
Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities.
Language: Jupyter Notebook - Size: 267 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
hk151109/Image-Classification-Using-SVM
This repository contains the implementation of an image classification system using a Support Vector Machine (SVM). The goal of the project is to classify images of cats and dogs stored in two folders (train and test1). The classifier is trained on a labeled dataset and used to predict the category of unseen images from the test folder.
Language: Python - Size: 25.2 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
quanta-guy/RTSenseStream
Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
fuadmuhtasim/ML-Diabetic-Retinopathy
Using Image Classification ML Models to Classify Diabetic Retinopathy Images
Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
KTS-o7/Algorithmic-fusion-for-Lung-scan-classification
Language: Jupyter Notebook - Size: 8.73 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
sreesathiya175/codsoftai
contains project related to python
Language: Jupyter Notebook - Size: 2.99 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
mohsincsv/Image-Classifier-from-Scratch
Image Classification for a City Dog Show
Language: Python - Size: 8.56 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
awojidetola/Fruit-Quality-Classification
An image classification web app that identifies fruits and classifies them based on their quality
Language: Jupyter Notebook - Size: 90.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
harmanveer-2546/Bird-Species-Prediction-Using-Deep-Learning
Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.
Language: Jupyter Notebook - Size: 204 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
SreecharanV/Improving-CIFAR-10-Image-Classification-with-Diverse-Architectures-Using-Ensemble-Learning
This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.
Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
