452 Open source projects that are alternatives of or similar to Hrnet Image Classification

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Trial on kaggle imagenet object localization by yolo v3 in google cloud

🍊 🎑 Orange3 add-on for dealing with image related tasks

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

No description or website provided.

OpenMMLab Image Classification Toolbox and Benchmark

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Parametric Contrastive Learning (ICCV2021)

A collection of SOTA Image Classification Models in PyTorch

Implementation of EfficientNet model. Keras and TensorFlow Keras.

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Sandbox for training deep learning networks

Etiketai is an online tool designed to label images, useful for training AI models

Easily train or fine-tune SOTA computer vision models with one open source training library

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Bottleneck Transformers for Visual Recognition

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

A light-weight, power efficient, and general purpose convolutional neural network

RMDL: Random Multimodel Deep Learning for Classification

猫狗大战

Gluon CV Toolkit

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Dataset of images of trash; Torch-based CNN for garbage image classification

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

ImageNet pre-trained models with batch normalization for the Caffe framework

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

An easy to use C# deep learning library with CUDA/OpenCL support

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Corruption and Perturbation Robustness (ICLR 2019)

Brevitas: quantization-aware training in PyTorch

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Efficient Learning of Augmentation Policy Schedules

🔥 Reproducibly benchmarking Keras and PyTorch models

High-performance Vision library in Python. Scale your research, not boilerplate.

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

🍎 My own face recognition with deep neural networks.

TensorFlow models accelerated with NVIDIA TensorRT

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes