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GitHub topics: inception-v3

gabrielkasmi/deeppvmapper

Automated pipeline for large scale detection of solar arrays in France

Language: Python - Size: 13.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 15 - Forks: 2

Shiva-Khatter/DART---Deepfake-Analysis-and-Realism-Test

This project is a web application designed to detect deepfake videos using advanced machine learning techniques. The backend is powered by a pre-trained model that leverages Convolutional Neural Networks (CNNs) with InceptionV3 architecture and Recurrent Neural Networks (RNNs) utilizing Gated Recurrent Units (GRUs).

Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

GantMan/nsfw_model

Keras model of NSFW detector

Language: Python - Size: 483 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 1,900 - Forks: 284

altomator/Image_Retrieval

Image Retrieval in Digital Libraries - A Multicollection Experimentation of Machine Learning techniques

Language: XQuery - Size: 63.6 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 26 - Forks: 5

kdmayer/3D-PV-Locator

Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Language: Python - Size: 28.6 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 54 - Forks: 8

deveshsangwan/Skin-lesions-classification

This repo includes classifier trained to distinct 7 type of skin lesions

Language: Jupyter Notebook - Size: 962 KB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 7

borisshapa/inception-v3-numpy

Implementation of the popular network Inception v3 on Numpy. Implementation of the AdaSmooth optimizer. Comparison of optimizers on Cars dataset.

Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

jyotirmaypaliwal/Gender-recognition

Gender recognition using Inception-v3 and Pytorch

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

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: 5 days ago - Pushed at: 6 months ago - Stars: 29 - Forks: 4

biolab/orange3-imageanalytics

🍊 :rice_scene: Orange3 add-on for dealing with image related tasks

Language: Python - Size: 4.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 32 - Forks: 43

ThanasisMattas/smartflow

A Deep Learning solver for the Shallow Water Equations

Language: Python - Size: 64.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 8 - Forks: 2

archsyscall/ConvNets-TensorFlow2

⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

Language: Python - Size: 145 KB - Last synced at: 21 days ago - Pushed at: almost 5 years ago - Stars: 105 - Forks: 31

Pavansomisetty21/Image-Classification-using-Keras-Pretrained-models

we classify the images with keras pre trained models like vgg 16 model ,Resnet-50 model and inception-v3 model

Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

anantterkar/Drone-Detection-and-Recognition-from-Doppler-Radar-Data

This project aims at detecting drones using doppler RADAR dataset and classifying objects as drones, people and vehicle

Language: Jupyter Notebook - Size: 785 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

wwj718/Cozmo-What-Is-This Fork of rizal72/Cozmo-Voice-Commands

cozmo what is this. I'm thinking! oh it is the coffee mug

Language: Python - Size: 155 KB - Last synced at: 4 days ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 2

kapil-verma/Machine_part_defect-detection

Classification of automotive parts as defective and non-defective with transfer learning.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 13 - Forks: 11

MaharshSuryawala/Food-Image-Recognition

A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.

Language: Jupyter Notebook - Size: 39 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 77 - Forks: 47

hollance/Inception-CoreML

Running Inception-v3 on Core ML

Language: Swift - Size: 82.6 MB - Last synced at: 14 days ago - Pushed at: almost 6 years ago - Stars: 98 - Forks: 27

KartikayKaul/AutoDrive-GTA5

Autonomous Driving simulation in GTA 5 game

Language: Python - Size: 352 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Nur-Alam39/diabetic-retinopathy-detection

Undergraduate thesis: Identifying the level of diabetic retinopathy using multiple deep convolution neural networks through multiple image processing techniques and inceptionV3 architecture.

Language: Jupyter Notebook - Size: 262 KB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

Galaxies99/inception-cuda

CUDA Implementation of Inception

Language: Cuda - Size: 3.61 MB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

ayushdabra/stanford-dogs-dataset-classification

This repository contains the Jupyter Notebook for the InceptionV3 CNN Model trained on the Stanford Dogs Dataset.

Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 7

quanpersie2001/ImageCaptioning

Predicting a caption for a given image using Inception Net V3, LSTM and Glove

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

DataScienceVibes/AGRICULTURAL-CROPS-IMAGE-CLASSIFICATION-

Agricultural crops image classification is a task in the field of computer vision and machine learning where the goal is to develop models that can accurately identify and classify different types of crops from images.

Language: Jupyter Notebook - Size: 5.95 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

MuhammadShavaiz/Hand-Sketch-Recognition--InceptionV3

The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.

Language: Python - Size: 63.5 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

PROxZIMA/Skin-Cancer-MNIST-HAM10000

Skin Cancer MNIST: HAM10000 - ResNet50 vs Inception-V3 vs VGG-19 vs VGG-16 vs GoogLeNet (Inception-V1)

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

tariqshaban/disaster-classification-with-xai

A tool for classifying an image into a disaster type, utilizing Python

Language: Jupyter Notebook - Size: 662 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Arijit-Chanda/Indentifying-Landmarks-on-Mars

• Developed a robust classification model utilizing TensorFlow and transfer learning techniques to identify distinct landmarks, such as craters and dark dunes, on the Martian surface. Employed data augmentation methods to expand the dataset and enhance model generalization. Utilized OpenCV and Matplotlib for visualization purposes.

Language: Jupyter Notebook - Size: 667 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Balaji-Kartheek/DeepFake_Detection

Designed and Developed end-to-end scalable Deep Learning Project. It is a detection system trained using InceptionV3(CNN model) + GRU(Sequential model) model to classify a video as Real or Fake. Obtained the test accuracy of 89%.

Language: Jupyter Notebook - Size: 48.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

Moeo3/GoogLeNet-Inception-V3-pytorch

An implementation of GoogLeNet Inception V3 by Pytorch. The implementation can be adapted to any size of picture input.

Language: Python - Size: 1.95 KB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

Rahman2001/surgical_skill_assessment

Video-based surgical skill assessment using 3D convolutional neural networks

Language: Python - Size: 406 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

josemenber/image-based-crop-anomaly-detection

A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture

Language: Python - Size: 870 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2

roshniRam/Melanoma-Skin-Lesion-Classification

Classifying a skin lesion as malignant melanoma or benign.

Language: Jupyter Notebook - Size: 120 KB - Last synced at: 7 days ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 3

mariodmtrv/leaper

Labeling photos of landmarks

Language: Jupyter Notebook - Size: 8.23 MB - Last synced at: 12 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

thangnh1/PestClassification

A website to identify pests and diseases based on photos use VGG16, Resnet50, Inception v3

Language: Jupyter Notebook - Size: 243 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

hamidsadeghi68/Signature-Classification

Signature Classification on ICDAR 2011 Signature Dataset

Language: Jupyter Notebook - Size: 243 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

LaurentVeyssier/Skin-Cancer-Classifier-Dermatologist-AI

Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions

Language: Jupyter Notebook - Size: 5.74 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 5

sujal100/Endoscopy-Image-Processing

Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

vantrang23/AI_COVID19

Trí tuệ nhân tạo, mạng học sâu Inception V3, VGG19, DenseNet 121 và Unet trong việc phát hiện và khoanh vùng nhiễm bệnh Covid 19 từ ảnh chụp phổi

Language: Jupyter Notebook - Size: 5.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Sree-Krishna/Diabetic-Blindness-Detection

Classify the severity stages of Diabetic Retinopathy

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

puke3615/SceneClassify

AI场景分类竞赛

Language: Python - Size: 609 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 187 - Forks: 71

Bratajit-03/TumorTrack-AI

Transfer Learning based Brain Tumor Classification system made on Inception V3 architecture.

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ezelinskiy/Pizza-App

Simple app that use CoreML and Inceptionv3 model to check is there a pizza in the photo

Language: Swift - Size: 82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nglaz0v/data-science-algo 📦

Алгоритмы Data Science и их практическая реализация на Python

Language: Jupyter Notebook - Size: 339 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

DIRGH712/Detecting-COVID-19-Using-Convolution-Neural-Networks

Language: Jupyter Notebook - Size: 157 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

saurabhmathur96/Automated-Image-Captioning-System

My undergraduate capstone project. A deep learning based image caption generator.

Language: Jupyter Notebook - Size: 9.96 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2

csk99/har

Human Activity Recognition

Language: Jupyter Notebook - Size: 48.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

david-solis/brain-tumor-classifier

Brain Tumor Classifier

Language: Jupyter Notebook - Size: 147 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

AjNavneet/Apparel_ImageClassifier_InceptionV3_ResNet

CNN Image classifier using InceptionV3 and ResNet for a t-shirt images.

Language: Jupyter Notebook - Size: 72.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

manikanta-varaganti/OrAIza

Language: Java - Size: 67.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

antiplasti/Plastic-Detection-Model

Image Recognition Model to detect plastics, glass, paper, rubbish, metal and cardboard. This is used to detect these pollution in the ocean to allow the eradication of these materials, helping marine life, fishermen, tourism and making the world resilient to climate change.

Language: Python - Size: 41.8 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 75 - Forks: 40

Niccher/Chege-Sees

Object recognition using Inception model

Language: Java - Size: 98.6 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Sakib1263/Inception-InceptionResNet-SEInception-SEInceptionResNet-1D-2D-Tensorflow-Keras

Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 4

jgurakuqi/deep-learning-based-dog-breed-classifier

The goal of the project is to improve a kaggle project about Dog Breed Classification, achieving an higher test accuracy. The original project achieved 79% of accuracy on the test set, while this one goes up to 87%. Also further improvements were made to the data processing pipeline in terms of modularity and performance.

Language: Jupyter Notebook - Size: 4.77 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dabasajay/Image-Caption-Generator

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Language: Python - Size: 2.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 247 - Forks: 76

shakirul15-311/InceptB

InceptB: Traditional Bengali games Data-set.

Size: 88.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nishagandhi/DrowsyDriverDetection

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Language: Python - Size: 22.4 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 103 - Forks: 33

vinayak1998/JinYangCFOOD

A computer vision iOS app

Language: Swift - Size: 82 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

anindox8/Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Language: Jupyter Notebook - Size: 9.92 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 32 - Forks: 16

Yvent/CoreML-Demo

官方所有Models实现

Language: Swift - Size: 148 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 0

priyanshugandhi/priyanshu-face_recognition

Real-time face recognition, age, emotion, gender classification using CNN, tensorflow and openCV.

Language: Python - Size: 1.73 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 5

harimkang/food-image-classifier

Food classifier trained the inception_v3 model

Language: Python - Size: 775 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

sultanalnahian/DogsVsCats

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

NirmalKanagasabai/Image_Classification__CNN

'Transfer Learning' was used to classify the images into the 40 categories. Inception-v3, a CNN model that was pre-trained by Google on 100K images with 1000 categories was used in the process.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

CryogenicPlanet/UofTHacks-2020

Not sure what to wear in unpredictable weather? Clothology allows you to choose your clothing attire based on what others in your area are wearing.

Language: Python - Size: 318 MB - Last synced at: about 18 hours ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2

ProGamerGov/pytorch-old-tensorflow-models

Models from Tensorflow and Keras converted to PyTorch

Language: Python - Size: 146 MB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

vimlord/GargleSearchEngine

A hobby search engine for my amusement.

Language: Python - Size: 92.8 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

Chandrakant817/Tomato-Leaf-Disease-Prediction-Using-CNN

Tomato-Leaf-Disease-Prediction-Using-CNN (VGG16 and VGG19), ResNet (Resnet50) and Inception (inception v3)

Language: Jupyter Notebook - Size: 5.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

PJunhyuk/inception-v3-cifar10

inception-v3-cifar10

Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 4

krishnalagad/brain-tumor-detection-DeepTransferLearning

Deep transfer learning based model to classify tumor in multiple classes using MRI scanned images of brain.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

roy-shudipto/melNET

This model is designed to augment data, train the CNN, and, test the performance.

Language: Python - Size: 53.2 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

bhavul/Happy-or-not

In this mini-experiment, I build a classifier that finds if the person(s) in a given image are happy or not.

Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

darshanbagul/HalluciNetwork

Generating deep dream visualisations using activation feature maps of a pretrained Google Inception-v3 Convolutional Network

Language: Python - Size: 115 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

floydhub/imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Language: Python - Size: 9.98 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 154 - Forks: 52

heeranwalnitish/CNN

Size: 50.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yulingtianxia/HandGestureCNN

Trainning Inception v3 model with Keras, and predict with MPS on iOS.

Language: Swift - Size: 72.9 MB - Last synced at: 22 days ago - Pushed at: almost 8 years ago - Stars: 10 - Forks: 2

BMCARDONA/Hot-dog-Not-hot-dog-Classifier

A binary classifier to test whether an image belongs to the "hot dog" class or the "not hot dog" class, as seen on HBO's Silicon Valley.

Language: Jupyter Notebook - Size: 45.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

raheelsiddiqi2013/fruit_image_classification

Fruit image classification using transfer learning and fine tuning

Language: Jupyter Notebook - Size: 652 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 2

denal05/SeeFood-iOS13

Core ML image recognition app using the Inceptionv3.mlmodel The model is the culmination of many ideas developed by multiple researchers over the years. It is based on the original paper: "Rethinking the Inception Architecture for Computer Vision" by Szegedy, et. al.

Language: Swift - Size: 82 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Shrinidhi1/Multiclass-Semantic-Segmentation-for-Road-Surface-Detection

Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.

Language: Jupyter Notebook - Size: 6.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

splinter89/fingerprint-liveness-detection

Fingerprint Liveness Detection (with a quiz)

Language: Python - Size: 2.18 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

Sanky18/Crack-Detection-Model

Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

NahushKulkarni/Alzheimers-Disease-Detection

Implementation of an Alzheimer's Disease detection system using Deep Learning on MRI images from a Kaggle Dataset.

Language: Jupyter Notebook - Size: 157 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 4

NourKamaly/SignatureIdentificationAndVerification

First rank winner in the Computer Vision Course Competition for class 2022-2023.

Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 2

DragoKami/Image-Scene-Desciption-using-embeddings

This notebook demonstates end-to-end process of generating image embeddings from Flickr8k dataset using InceptionV3 and generate captions using LSTM.

Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Rumeysakeskin/Image-Captioning

Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures

Language: Python - Size: 3.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

farkoo/Cat-Dog-Classifier

The purpose of this project is to train a model that can classify images of dogs and cats into two separate classes.

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

dikshant2210/UCF101-Classification

Analyze and classify videos in the UCF101 dataset

Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

vikashkumarsharma1/AI-Innovation

Multi-Class Skin Cancer Classification Using Deep Convolutional Neural Network

Language: Jupyter Notebook - Size: 827 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

tamimmirza/Neural-Style-Transfer

Language: Jupyter Notebook - Size: 2.99 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

MrAnayDongre/TransferLearning

This project is in 'TensorFlow in Practice Specialization' where I've tried to improve the performance using transfer learning.

Language: Jupyter Notebook - Size: 81.1 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

nahin333/A-Comparative-Study-of-Neural-Network-Architectures-for-Lesion-Segmentation-and-Melanoma-Detection

A comparative study for skin lesion segmentation and melanoma detection where deep learning methods can perform very well without complex pre-processing techniques except for normalization and augmentation.

Language: Jupyter Notebook - Size: 724 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sanky18/L-T-EduTech-Hackathon-at-SHAASTRA-IITM

Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

ValantisAndreas/Parkinsons-DL-Classifier

A classifier created to detect PD on patients using fMRI data

Language: Jupyter Notebook - Size: 6.45 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

enijkamp/metrics_generative

metrics for generative models (fid, inception)

Language: Python - Size: 17.6 KB - Last synced at: 21 days ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 1

Pradeep23-01/facial-affect-analysis-CNNs

Tackling facial emotion recognition (FER) tasks using DCNNs, VGG16 and Inception-V3 models

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

pradeepchegur/Image_Classification_Python

Here, classified three category of images using inception v3 model.

Language: Jupyter Notebook - Size: 87.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

shantanu1109/Coursera-DeepLearning.AI-GANs-Specialization

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

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MuhammadTayyab-SE/inappropriate-image-detection

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SukonyaPhukan92/Image_Based_Air_Pollution_detection_using_InceptionV3_Model

In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achieve that goal, we have collected data from different sources and then enhanced the low-quality images using the Image enhancement technique. Our next step was to train a CNN (Convolutional Neural Network) on the images in order to detect air pollution by analyzing the clearness of the sky in the image. In this work, we have used the Inception V3 model. After the successful testing of the CNN model, we have deployed the model on an Android Application.

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