yolo-custom-segmentation
Project status: UnknownPyTorch-based reimplementation of the YOLO instance segmentation model featuring a full architecture replication of Ultralytics with advanced enhancements. The model integrates C3k nested blocks, C2PSA attention modules, DFL-based bounding box refinement, and depthwise separable convolutions for efficient multi-scale detection and segmentation.
- Target software or hardware
- Work type
- Primary public repository
- github.com/mihajlov39547/yolo-custom-segmentation
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About and scope
PyTorch-based reimplementation of the YOLO instance segmentation model featuring a full architecture replication of Ultralytics with advanced enhancements. The model integrates C3k nested blocks, C2PSA attention modules, DFL-based bounding box refinement, and depthwise separable convolutions for efficient multi-scale detection and segmentation.
Contribution availability
Contribution policy unknown
- AI-assisted contribution policy
- Unspecified
Documented contributor systems
Contributor setup not documented
Reported progress
Progress not reported
Sources, builds and releases
- Open repository · github.comgithub.com/mihajlov39547/yolo-custom-segmentation