Shypd.aiThe largest open index of AI toolsObjectDetection-OneStageDet is an open-source object detection framework that implements YOLOv2 and YOLOv3 algorithms. It provides efficient backbones and fast training for research and development.
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ObjectDetection-OneStageDet is an open-source object detection framework developed by Tencent, designed to provide a unified platform for single-stage generic object detectors. Currently, it supports YOLOv2 and YOLOv3 implementations, with future plans to integrate YOLO and SSD into a single framework. The tool emphasizes performance and speed, offering good mAP scores and fast inference times, especially with various efficient backbones like TinyYOLO, MobileNet, and ShuffleNet. It provides comprehensive instructions for installation, data preparation, training, evaluation, and benchmarking, making it suitable for developers and researchers working on object detection tasks.
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