YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Jul 31, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab Detection Toolbox and Benchmark
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
We write your reusable computer vision tools. 💜
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/
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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
Effortless data labeling with AI support from Segment Anything and other awesome models.
🔥🔥🔥🔥 (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.
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
Scaled-YOLOv4: Scaling Cross Stage Partial Network
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Training and Detecting Objects with YOLO3
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