Determine breed of dog in an image

VGG 19 is a Very Deep Convolutional Networks for Large-Scale Image Recognition In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convoluti…

This is a simple example of how to prepare an ImageNet submission to the evaluation server.

Simple application of VGG16 for the recognition of images, obtained from LFW, of a limited number of famous(15) with good performance (greater than 80%)

This repository contains code for pretraining Wide Residual Network (WRN) using ImageNet

simple pytorch pipeline for pretraining/finetuning vision models on imagenet-1k

This repository hosts assignments of HCC's Computer Vision Spring '24 class.

scripts for downloading images form imagenet open images with labels

Artificial Intelligence in Assistive Technology. Using AI and Machine Learning we can redefine what vision means for visually impaired or blind.

Convolution Neural Network Profiler

Class Activation Map (CAM)

This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).

This Tensorflow model classifies 8 categories of images. InceptionResNetV2 is the source network chosen to build the model and the ImageNet dataset is the source domain it has been pre-trained. The model performs classification with an accuracy of 99%.

Classifier | TensorFlow.js | MobileNet

image label predictor using keras and flask, for training used imagenet dataset with resnet 50.

Predict Image Content 🖼 using Tensorflow.js and ImageNet Dataset Model 💿

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

Supporting scripts to evaluate different TensorFlow/Keras models on ImageNet (ILSCRV2012) classification dataset.