GitHub topics: vgg16-model

Repositories

kanishkumar-k/multi-modal-cyberbullying-detection-and-prevention

Website to explain the working of Cyberbullying detection and prevention app in social media

Language: Python - Size: 15.5 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

MateusOK/RedBag-AI

Machine learning model training for canine cataract classification, powering the RedBag app's predictive capabilities.

Language: Python - Size: 50.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sagarbhavsar1/Single-Image-Dehazing-using-feature-extraction-techniques-in-Deep-Learning

This is a novel methodology to perform dehazing process on a single outdoor Image using feature extraction techniques in Deep Learning and 3 added pre-processing steps.

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Anshul21107/Fashion-mnist-Pytorch

This repository contains the implementation of Fashion-MNIST classification using PyTorch

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samuelbatistadeb/Transfer-Learning-VGG16-Cats-vs-Dogs

Este projeto utiliza Transfer Learning com o modelo VGG16 para classificar imagens de gatos e cachorros usando o dataset Cats vs Dogs. O modelo é treinado para realizar classificação binária com base em características extraídas das imagens. Implementado no Google Colab.

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gyselle-marques/RecomendacaoPorImagem-DesafioDIO

Machine Learning: Sistema de Recomendação por Imagens Digitais.

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Wahid234/Skin-Cancer-Detection

Compare the performance of four deep learning models—CNN, MobileNetV3 Large, VGG16, and EfficientNetB4—for the automated detection and classification of skin lesions

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muhammadowaismushtaq/brain-tumor-detector

Deep Learning Techniques

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rohiit-chaurasiya/SearchingFashion

Machine Learning Based Project for Image Classification & Video Processing .

Language: Python - Size: 98.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

Himank-Khatri/Coccidiosis-Classification

End To End implementation of chicken disease classification. Model trained on VGG16.

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Aditya-Ranjan1234/BollywoodCeleb-Classifier

Upload an image to find your Bollywood celebrity look-alike

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Ahmed-AI-01/End-to-End-ML-Deployment

Language: Python - Size: 10.3 MB - Last synced at: 15 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

DataScienceVibes/Skin_-Cancer-_Classification

Skin cancer classification involves developing a model to identify and classify skin lesions as either benign or malignant based on images.

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bkataru/fake-currency-identification

Uses retrained MobileNetV2 classification models to determine whether an Indian currency note is fake or real (based on watermark and fluorescent strip)

Language: Python - Size: 254 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 4

alexdjulin/ik-image-classification-with-cnn

Build a Convolutional Neural Network (CNN) model to classify images from a given dataset into predefined categories/classes.

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mafda/dog_breed_classifier

Dog breed classifier - Udacity Deep Learning Nanodegree

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kavin-raja-d/Tailored_Model_Detection_Systems

The Face Detection Project is a Python-based application that uses machine learning techniques to detect faces in images. It utilizes OpenCV and other libraries to accurately identify and highlight facial features in real-time or from static images.Use can use the model to detect anything according to the training data.

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gorkemgul/VGG-Hub

A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models

Language: Python - Size: 776 KB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

Saeedanbarimoghadam/-Detection-of-COVID-19-Using-Deep-Learning-Algorithms

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jihto/Square-Etail

The online fashion store using search image

Language: TypeScript - Size: 40.1 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Nishita76/Hand-gesture-recognition-model

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lauracarpaciu/Bees-vs-Wasps

Distinguish bees from wasps

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vijayg15/Keras-MultiClass-Image-Classification

Multiclass image classification using Convolutional Neural Network

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mtwchuang/CSC3009-Brain-Tumor-Detection

This project explores the application of deep learning techniques, specifically Convolutional Neural Networks (CNNs), in classifying brain tumors classes such as non-tumor, glioma, meningioma, pituitary from MRI images, and evaluate these CNNs architectures based on their respective performances in tumor classification.

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Indrajit-2001/An-analysis-of-Breast-Cancer-Detection-

A breast cancer analysis project using advanced image processing techniques. This research employed CNNs, specifically VGG16, DenseNet121, and ResNet150V2, to analyze histopathological images from the BreakHis dataset on Kaggle, enhancing breast cancer detection and classification.

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TusharD48/Brain-Tumour-Detection

Brain tumor detection and prediction using keras vgg-16

Language: Jupyter Notebook - Size: 74.2 MB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

swapnita-pandey/Identification-of-Edited-Images

Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

coderooz/image_classification_transfer_learning

This project involves using transfer learning to classify images into categories such as cats vs. dogs by leveraging a pre-trained model like VGG16 or ResNet. Transfer learning allows you to adapt a pre-trained model to your specific problem, making the training process faster and often more effective.

Language: Python - Size: 10.7 KB - Last synced at: 22 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

data-pioneer/MLops-Chest-Disease-Classification-from-Chest-CT-Scan-Image-

Implementation of MLops pipeline for Chest Disease Classification from Chest CT Scan Images using computer vision Vgg16 pretrained Image classification model. further perform deployment on AWS EC2 using Docker, CI/CD Jenkins tool, using Flask as front end interface.

Language: Jupyter Notebook - Size: 97.2 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MPoojithavigneswari/Vegetable-Classification-Project

Created a website of vegetable classification using vgg16 CNN model with 99% accuracy.

Language: Jupyter Notebook - Size: 588 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

anjanchowdhury/Image-Caption-Generator

Image caption generator project is automatically describes images with coherent and relevant textual captions.

Language: Python - Size: 592 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SidraAnsari/Fyp-Code

Breast Cancer H&E classification of Images and Image Generation

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aaleksandraristic/Intelligent-ECG-Diagnostic-System-based-on-CNN-Models

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

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kaushikrohit004/Image-Recognition-on-TV-series

Let’s dive into the fascinating world of image recognition using the VGG16 model. In this project, we’ll explore how this powerful architecture can help us identify objects within images, with a specific focus on the popular TV series “The Vampire Diaries.”

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VivekaAryan/Cancer-classfiication-using-MLflow-and-DVC

The Chest Cancer Classification project diagnoses chest cancer from medical images using deep learning. It integrates MLflow for experiment tracking, DVC for version control, and Flask for backend processing. Docker and a CI/CD pipeline with GitHub Actions and AWS.

Language: PureBasic - Size: 158 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

abhay-43/Internet-Hinglish-Memes-Classification-using-Multimodal-Learning

This project classifies Internet Hinglish memes using multimodal learning. It combines text and image analysis to categorize memes by sentiment and emotion, leveraging the Memotion 3.0 dataset.

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Almas105/Cervical_Cancer_Detection_Using_Deep_Learning_Techniques

In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.

Language: Python - Size: 8.79 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Pranshu321/Graphic

Graphic - The PhotoVerse, a one-stop progressive web app for photographers and photography enthusiasts! Exhibit, sell, and get hired all in one place. With Graphic, you can showcase your work, create your portfolio, generate artistic images by combining art with photography, and even earn revenue by selling your digital art.

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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.

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malleswarigelli/Chest_Disease_Image_Classification_

Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins

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RababKaf/Ballet_Floral_Un_Pas_Vers_la_Detection-Delicate_des_Types_de_Fleurs

Cette application utilise l'apprentissage automatique pour reconnaître et classifier les espèces de fleurs à partir d'images, fournissant des informations détaillées pour faciliter l'identification des plantes.

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harsmac/Realtime-Alerting-System-for-Autonomous-Vehicles

An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its application to a real-time alerting system

Language: Python - Size: 13.1 MB - Last synced at: 12 months ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 1

catalinalopera/Image_Classification

This project focuses on the task of image classification using datasets sourced from Kaggle. The primary goal of this repository is to evaluate the performance of two neural network architectures, AlexNet and VGG16, and to draw comparisons between these methods.

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billy-enrizky/Image-Caption-Generator

🚀 Image Caption Generator Project 🚀 🧠 Building Customized LSTM Neural Network Encoder model with Dropout, Dense, RepeatVector, and Bidirectional LSTM layers. Sequence feature layers with Embedding, Dropout, and Bidirectional LSTM layers. Attention mechanism using Dot product, Softmax attention scores,...

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SubhasreeMandal/Sign-Language-Detection-using-OpenCV-CNN

Detecting sign language from live camera feed. Model is pre-trained and trained using convolutional neural network.

Size: 4.88 KB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

JuhieMotiani/Diagnosticc

A website 🖥 that effectively classifies Covid-19, Pneumonia and Normal Chest X-ray images

Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 8

preraktrivedi7/ImageClassification-using-CNN-TransferLearning-Dashboard

Creating a Sequential CNN model to classify images of various datasets and comparing the results to pretrained models (VGG16 and Inception V3). A dashboard design for the CNN model for the prediction

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aalaa-adel1/Neural-Network

image classification task where we use different deep learning models from scratch like vgg16,cnn,tramsformers, and using the initial weights to try getting the best accuracy on kaggle competition

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nitinsaimajji/voice1

A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16

Language: Jupyter Notebook - Size: 167 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

shivpalSW/PulmoDetect-Image-Analysis

PulmoDetect Image Analysis

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sraddhanjali/Aerial-Cactus-Identification

Trained a CNN model to classify cactus species (columnar cactus) in a binary classification challenge, hosted on Kaggle competition. Refined the model with image augmentation, pre-trained VGG16 model parameters using transfer learning, and improved the identification metric (area under ROC score) from 0.9964 to 0.9971 on the test set.

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andrianfranco/CamaraTrampa

Trap Camera with positioning system and classification of images by animal species

Language: Python - Size: 167 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

siddharthiyervarma/Automated-Pneumonia-Predicter

This project focuses on leveraging deep learning techniques to predict lung disease, specifically pneumonia, from chest X-ray images.

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usmanX191/Brain-Tumor-Detection

Brain tumor detection and prediction using keras vgg-16

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sarthak815/Face-Detection_Model-HackRx2.0

Face detection model developed to check discrepancies such as blurred background, spoofed image, obstruction detection, multiple people and other issues in photos uploaded by doctors to the Bajaj Finserv Health App. Winning submission at HackRx2.0.

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niloycste/Kidney-Failure-Detection

This is a Deep Learning Model to classify kidney

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mayank0rastogi/DeepLearning

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delaykimm/COSE474

Projects of DeepLearning(COSE474 김승룡) (cs231n)

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avulaankith/PDP

PDP Project

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SakhriHoussem/Image-Classification

Pre-trained VGG-Net Model for image classification using tensorflow

Language: Python - Size: 2.62 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 33 - Forks: 15

AjNavneet/ImageColorization_TransferLearning_VGG16

Transfer learning with VGG16 model for converts grayscale images to colored images.

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jibby2803/VGG16-pytorch-implementation

Here is pytorch implementation of VGG16 from scratch. It was trained on animal dataset for animal classification. It is a pratical project for basic skills in computer vision.

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BoutainaELYAZIJI/Kidney-Disease-Classification

An end-to-end project dedicated to classifying kidney disease CT images into 'tumor' or 'normal' categories using deep learning and CNN models.

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mashyko/Image-Classifier

examples of image classification using Keras+ Tensorflow 2.0 and PyTorch

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devsonni/Chart-Classification-Using-CNN----Keras

This repository consists of models of CNN for classifying different types of charts. Moreover, it also includes script of fine-tuned VGG16 for this task. On top of that CradCAM implementation of fine-tuned VGG16.

Language: Python - Size: 126 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

bhavuksagar/Face_Mask_Detection

Real time Face mask detection Model.

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SumathiGit/Defect-Detection-Food-Package

Machine Learning Project

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Arya920/Gender-Detection-Project

This project focuses on classifying the gender of individuals from facial images. It employs a combination of techniques including transfer learning, fine-tuning, and custom CNN models.

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thao-phan23/Proposal_for_image_search_feature_for_NITA_fashion_ecommerce_company

Implemented an image search feature on the website to improve the experience of 35% of customers dissatisfied with keyword searches. This enhancement incorporated the CNN model with 95% accuracy for image classification and the Siamese model for the top 5 similar products, leveraging the data set of 24,000+ images across 10 different classes.

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arjunsingh88/image_classification_cats_dogs

Image Classification problem, Cats v/s Dogs Model. Browse to https://imgclassification.herokuapp.com/ for the deployment via Heroku

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RaghavendraVutukuri/Image_Recognition_using_VGG16

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rahulmakwana1/Face-recognition-using-transfer-learning

Face recognition using transfer learning

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Xemos007/India_Academia_Connect

The input dataset will consist of images containing Hindi characters. The challenge is to identify the presence of a character in images using Convolutional Neural Networks.

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akhill10/Chest-XRay-Vision

Chest Xray image Classification using Deep learning using Pytorch ~

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anupamtamrakar/Lynda-Image-recognition

Language: Python - Size: 8.12 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

SushankSharma/Breast-Cancer-Detection-DeepLearning

A deep learning solution for the classification of breast cancer using histopathological images. The project aims to investigate the best possible outcome using the VGG-16 arch and normalization techniques for improving the accuracy and reliability of breast cancer diagnosis through the integration of computer vision and image processing technique.

Language: Jupyter Notebook - Size: 501 KB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

pooja97/Virltor

AI based real estate service for rating 1.2 million housing community of San Diego

Language: Python - Size: 6.42 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

avr2002/Image-Coloring-using-Autoencoders

Coloring black and white images using autoecoders and transfer learning

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tejangupta/Chicken-Disease-Classification

Build a flask app that identifies and diagnoses whether chicken has coccidiosis disease or not through fecal sample image.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

anhphan2705/Image-Classification-SVM-Dog-Cat

Using VGG16 feature extractor with Scikit-learn Support Vector Machine to train the model to classify dogs and cats. Model accuracy: 94.71%

Language: Python - Size: 14.6 KB - Last synced at: about 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

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Subratamanna07/CapstoneProject_Covid-19_Chest_X-ray_Image_Classification_CNN

This repository contains a Convolutional Neural Network which classifies whether a person is suffering from COVID-19 or not with the help of Chest X-rays.

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Hiteshiitg123/AI-image-classifier

AI image classifier

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avishekdas539/Face_Detection

Face Detection using base model of VGG16 with added extra layers for specific purpose.

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iremakalp/Plant_Disease_Detection

This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".

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Mak-3/Car-Dirtiness-and-Damage-detection

Language: HTML - Size: 73.2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

rishavchanda/Brain-Tumor-Detection

Brain tumor detection and prediction using keras vgg-16

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Avr13/Dog-Breed-Classifier

Dog Breed Classification (Project done under Udacity)

Language: Python - Size: 9.15 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

AbhiSaste5402/MSc-Project-Part1-Pneumonia-detection-using-tansfer-learning-on-ResNet50-VGG16-and-VGG19

The dataset having Pneumonia and Normal chest X-Ray images were trained on different numbers of epochs to check the variability in the training and validation accuracies. The ResNet50 model with the highest and closest Training and Validation accuracies was then used for the prediction.

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rupam-seal/imo

Imo is a image classification website. Users can easily upload their images and get instant results about the image's content, allowing them to organize their collections more efficiently. 📸

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