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%)

Determine breed of dog in an image

A Wordle clone guessing game for labels found in random images from ImageNet dataset.

Convolution Neural Network Profiler

Class Activation Map (CAM)

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…

scripts for downloading images form imagenet open images with labels

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

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.

Based on the Google Deep Dream Inception V3 model

make custom-defined skin dataset with ISIC 2017 medical images and ImageNet

PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset

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%.

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

This product uses ML technologies to compare the visual similarities (geometrical, color, etc) of images. It is intended to be used on ecommerce sites as a product recommender system. Models are trained with the VGG16 model which is pretrained on the imagenet dataset.

in this repository we get familiar with the Transfer Learning idea on the ImageNet dataset, in addition, we see how we can employ this vision to implement VGG-19 which is one of the common models of CNNs.

Classifier | TensorFlow.js | MobileNet

GRIP THE SPARKS FOUNDATION TASK 1: OBJECT DETECTION To implement an object detector which identifies the classes of the objects in an image