Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use LazerLambda/testyolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use LazerLambda/testyolo 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("LazerLambda/testyolo", "<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
0656c17 -
Upload yolov8 best model
4dd31ab -
add ultralytics model card
bd114c5 -
upload sample visuals
ad1aac9 -
add ultralyticsplus config
49f9158 -
add ultralyticsplus config
f0bdd03 -
add ultralyticsplus config
425a101 -
initial commit
e94befa