Linking pages
Linked pages
- Segment Anything | Meta AI https://segment-anything.com/ 157 comments
- GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov5 25 comments
- GitHub - PaddlePaddle/PaddleOCR: Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices) https://github.com/PaddlePaddle/PaddleOCR/ 14 comments
- GitHub - ultralytics/ultralytics: NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite https://github.com/ultralytics/ultralytics 12 comments
- GitHub - meituan/YOLOv6: YOLOv6: a single-stage object detection framework dedicated to industrial applications. https://github.com/meituan/YOLOv6 7 comments
- GitHub - obss/sahi: Framework agnostic sliced/tiled inference + interactive ui + error analysis plots https://github.com/obss/sahi 6 comments
- GitHub - Megvii-BaseDetection/YOLOX: YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ https://github.com/Megvii-BaseDetection/YOLOX 6 comments
- GitHub - hukaixuan19970627/yolov5_obb: yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测 https://github.com/hukaixuan19970627/yolov5_obb 4 comments
- GitHub - Turoad/CLRNet: Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance). https://github.com/Turoad/CLRNet 3 comments
- GitHub - ifzhang/ByteTrack: [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box https://github.com/ifzhang/ByteTrack 1 comment
- GitHub - WongKinYiu/yolov9: Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information https://github.com/WongKinYiu/yolov9 1 comment
- GitHub - wkentaro/labelme: Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation). https://github.com/wkentaro/labelme 0 comments
- GitHub - opencv/cvat: Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. https://github.com/opencv/cvat 0 comments
- GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://github.com/WongKinYiu/yolov7 0 comments
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