Object Detection
ultralytics
English
yolo
yolov11
warehouse
pallet-detection
logistics
computer-vision
industrial
forklift
warehouse-automation
Eval Results (legacy)
Instructions to use EFFGRP/yolov11n-warehouse-pallets-960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use EFFGRP/yolov11n-warehouse-pallets-960 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("EFFGRP/yolov11n-warehouse-pallets-960") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d951148e9c4538b1777b73b5d19c3b74880affe2a2a8d6d6e98295e79e21d529
- Size of remote file:
- 517 kB
- SHA256:
- 5e89388ce743b378fe6a76b06cadb5b354e22bd8291d670720df7a4b0b19ab08
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