YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Ultralytics YOLO11 🚀

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

OpenMMLab Detection Toolbox and Benchmark

Datasets, Transforms and Models specific to Computer Vision

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

An elegant PyTorch deep reinforcement learning library.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

OpenMMLab's next-generation platform for general 3D object detection.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

A collection of loss functions for medical image segmentation

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

OpenMMLab Model Deployment Framework

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Unofficial implemention of lanenet model for real time lane detection

Simultaneous object detection and tracking using center points.

You Only Look Once for Panopitic Driving Perception.（MIR2022）

Pytorch implementation of cnn network

Spatial Sparse Convolution Library

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

World's first general purpose 3D object detection codebse.

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

yolov3 with mobilenet v2 and ASFF

PointPillars for KITTI object detection

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Code for 3D object detection for autonomous driving