There are 5 repositories under imagenet-dataset topic.
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
PyTorch Implementation of SOTA SSL methods
A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
Code for the paper "A Study of Face Obfuscation in ImageNet"
ImageNet-1K data download, processing for using as a dataset
Object Detection for Video with MXNet and GluonCV using YOLOv3
We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.
A Distributed ResNet on multi-machines each with one GPU card.
Deep Learning model which uses Computer Vision and NLP to generate captions for images
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
"Exploring Simple Siamese Representation Learning" PyTorch implementation
A demo for mapping class labels from ImageNet to COCO.
Creates subsets of ImageNet (e.g. ImageNet100)
Tensorflow Faster R-CNN for Windows and Python 3.5
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
[TPAMI-22] Bottom-up, voting based video object detection method
A novel architecture for enhancing image classification. Reference paper: https://arxiv.org/abs/2104.12294
Artificial Intelligence in Assistive Technology. Using AI and Machine Learning we can redefine what vision means for visually impaired or blind.
Scripts for building the ILSVR classification and localization training, validation, and testing data sets
Predict Image Content 🖼 using Tensorflow.js and ImageNet Dataset Model 💿
GRIP THE SPARKS FOUNDATION TASK 1: OBJECT DETECTION To implement an object detector which identifies the classes of the objects in an image
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
This is a simple example of how to prepare an ImageNet submission to the evaluation server.
PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset
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%)