Object Detection
ultralytics
PyTorch
coffee
cherry count
yield estimate
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use rgautroncgiar/croppie_coffee_ug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use rgautroncgiar/croppie_coffee_ug with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("rgautroncgiar/croppie_coffee_ug") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7dc360c619dfd787c7f42c8e4244a07e289ba3873d398d1414b513bba63f3681
- Size of remote file:
- 230 kB
- SHA256:
- 378fd4eebce0fd5198090c79990c2b23dac0c034f66118046545155f42c5622a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.