Image Segmentation
ultralytics
ultralytics-yolov11-seg
yolo
yolo11
segmentation
instance-segmentation
Instructions to use dashingzombie/yolov11-segmentation_earth-worm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dashingzombie/yolov11-segmentation_earth-worm with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("dashingzombie/yolov11-segmentation_earth-worm", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
YOLOv11-seg โ Earthworm Body Mask
This repository hosts a custom YOLOv11 segmentation model trained with Ultralytics. The model detects and segments earthworm bodies in images.
Model Details
- Architecture: YOLOv11-seg (Ultralytics)
- Framework: PyTorch / Ultralytics
- Task: Instance segmentation
- Classes:
0: body_mask
Weights
best.pt(current checkpoint uploaded here)
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