6846 Open source projects that are alternatives of or similar to Imagenet

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

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

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

YoloV3 Implemented in Tensorflow 2.0

Train a state-of-the-art yolov3 object detector from scratch!

🙄 Difficult algorithm, Simple code.

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

C# Yolo Darknet Wrapper (real-time object detection)

YOLOv3 implementation in TensorFlow 2.3.1

A collaborative tool for labeling image data for yolo

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

YOLO for object detection tasks

Code and files to go along with CS329s machine learning model deployment tutorial.

People detection and optional tracking with Tensorflow backend.

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

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

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

Single Shot MultiBox Detector in TensorFlow

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

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

Efficient Learning of Augmentation Policy Schedules

OpenMMLab Image Classification Toolbox and Benchmark

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

A PyTorch implementation of the YOLO v3 object detection algorithm

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Train the HRNet model on ImageNet

[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.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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

Car Crash Accident Project

Vehicle detection using YOLO in Keras runs at 21FPS

A caffe implementation of MobileNet-YOLO detection network

项目注释+论文复现+算法竞赛

yolo(all versions) implementation in keras and tensorflow 2.4

Annotation tool for YOLO in opencv

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

A Python wrapper on Darknet. Compatible with YOLO V3.

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

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

猫狗大战

Food Classification with Deep Learning in Keras / Tensorflow

Full implementation of YOLOv3 in PyTorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Evaluation of the CNN design choices performance on ImageNet-2012.

A photo OCR project aims to output DMS messages contained in sign structure images.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

High level network definitions with pre-trained weights in TensorFlow

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

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Esper instance for TV news analysis

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.