YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

OpenMMLab Detection Toolbox and Benchmark

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

We write your reusable computer vision tools. 💜

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Single Shot MultiBox Detector in TensorFlow

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

A PyTorch implementation of the YOLO v3 object detection algorithm

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

YoloV3 Implemented in Tensorflow 2.0

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

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 …