YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Ultralytics YOLO11 🚀

OpenMMLab Detection Toolbox and Benchmark

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

We write your reusable computer vision tools. 💜

deep learning for image processing including classification and object-detection etc.

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

NVR with realtime local object detection for IP cameras

CVPR 2024 论文和开源项目合集

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

A paper list of object detection using deep learning.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Best Practices, code samples, and documentation for Computer Vision.

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

Refine high-quality datasets and visual AI models