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Basket Handle

This is a YOLO11n object detection model trained to detect the black handle-like attachment on the front side of a tomato basket.

Sourcehuggingface.co/HyeonCheol1205/basket_handle/tree/6347d7ddf35911ac24e9ea9234371eec211efc53
KindOtherVersionRevision 6347d7d

Model source

Kind
Other
File size
5.21 MB
Version
vRevision 6347d7d
Updated
Sep 27, 2026
Downloads
5
Tasks
Object detection
Source
Hugging Face

Source description

Basket Handle YOLO11n

This is a YOLO11n object detection model trained to detect the black handle-like attachment on the front side of a tomato basket.

Model Details

  • Model type: YOLO11n Object Detection
  • Framework: Ultralytics
  • Task: Object Detection
  • Input: RGB image
  • Output: Bounding box prediction for basket_handle

Classes

IDClass
0basket_handle

Intended Use

This model is intended for object detection using an Intel RealSense camera and OpenManipulator-based robotic manipulation.

Example Usage

from ultralytics import YOLO

model = YOLO("basket_handle_yolo11n.pt")

results = model.predict(
    source="test_image.jpg",
    conf=0.5,
    save=True
)

print(results)

Notes

Before using this model for robot manipulation, test it under different camera angles, lighting conditions, object distances, and backgrounds.

Sources

1 source
Hugging FacePrimaryVersion 6347d7ddf35911ac24e9ea9234371eec211efc53
huggingface.co/HyeonCheol1205/basket_handle/tree/6347d7ddf35911ac24e9ea9234371eec211efc53

Verified Sep 27

Model artifacts

1 artifact

basket_handle_yolo11n.pt

pt · 5.21 MB · SHA-256 33b4e3c25658…b659 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 27huggingface.co/HyeonCheol1205/basket_handle

--- license: cc-by-4.0 library_name: ultralytics pipeline_tag: object-detection tags: - object-detection - ultralytics - yolo - yolo11 - yolov11 - basket - handle - agriculture - robotics --- # Basket Handle YOLO11n This is a YOLO11n object detection model trained to detect the black handle-like attachment on the front side of a tomato basket. ## Model Details - Model type: YOLO11n Object Detection - Framework: Ultralytics - Task: Object Detection - Input: RGB image - Output: Bounding box prediction for `basket_handle` ## Classes | ID | Class | |---|---| | 0 | basket_handle | ## Intended Use This model is intended for object detection using an Intel RealSense camera and OpenManipulator-based robotic manipulation. ## Example Usage from ultralytics import YOLO model = YOLO("basket_handle_yolo11n.pt") results = model.predict( source="test_image.jpg", conf=0.5, save=True ) print(results) ## Notes Before using this model for robot manipulation, test it under different camera angles, lighting conditions, object distances, and backgrounds.

NoteSep 27huggingface.co/HyeonCheol1205/basket_handle

Source context: 5 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo HyeonCheol1205/basket_handle