Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use adityaeucloid/YOLOv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use adityaeucloid/YOLOv 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("adityaeucloid/YOLOv", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload yolov8 tensorboard logs
4cc854f -
Upload yolov8 best model
1b7f45f -
add ultralytics model card
48f804b -
upload sample visuals
4158d7f -
add ultralyticsplus config
6aa6a3b -
initial commit
c22a4d3