Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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OpenMMLab Detection Toolbox and Benchmark
- object-detection
- instance-segmentation
- fast-rcnn
- faster-rcnn
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
- mask-rcnn
- tensorflow
- object-detection
- instance-segmentation
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
- object-detection
- instance-segmentation
- faster-rcnn
- mask-rcnn
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
- yolox
- yolov3
- onnx
- tensorrt
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
- point-cloud
- 3d-detection
- autonomous-driving
- pv-rcnn
R-CNN: Regions with Convolutional Neural Network Features
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- core-ml
- mps
- metal
- machine-learning
Build fully-functioning computer vision models with PyTorch
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