YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Sep 4, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab Detection Toolbox and Benchmark
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
We write your reusable computer vision tools. 💜
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/
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
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.
Effortless data labeling with AI support from Segment Anything and other awesome models.
A PyTorch implementation of the YOLO v3 object detection algorithm
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
YoloV3 Implemented in Tensorflow 2.0
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
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