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Tomato Basket Yolov11n

This is a YOLO11n object detection model trained to detect a small white basket containing red cherry tomatoes.

Sourcehuggingface.co/HyeonCheol1205/tomato-basket-yolov11n/tree/5f559556ced7a0002e36687ccfab1dd42d012ee9
KindOtherVersionRevision 5f55955

Model source

Kind
Other
File size
5.21 MB
Version
vRevision 5f55955
Updated
Sep 27, 2026
Downloads
20
Tasks
Object detection
Source
Hugging Face

Source description

Tomato Basket YOLO11n

This is a YOLO11n object detection model trained to detect a small white basket containing red cherry tomatoes.

Model Details

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

Classes

IDClass
0cherry_tomato_basket

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("tomato_basket_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 5f559556ced7a0002e36687ccfab1dd42d012ee9
huggingface.co/HyeonCheol1205/tomato-basket-yolov11n/tree/5f559556ced7a0002e36687ccfab1dd42d012ee9

Verified Sep 27

Model artifacts

1 artifact

tomato_basket_yolo11n.pt

pt · 5.21 MB · SHA-256 921149a78f62…96db · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 27huggingface.co/HyeonCheol1205/tomato-basket-yolov11n

--- license: cc-by-4.0 library_name: ultralytics pipeline_tag: object-detection tags: - object-detection - ultralytics - yolo - yolo11 - yolov11 - tomato - basket - agriculture --- # Tomato Basket YOLO11n This is a YOLO11n object detection model trained to detect a small white basket containing red cherry tomatoes. ## Model Details - Model type: YOLO11n Object Detection - Framework: Ultralytics - Task: Object Detection - Input: RGB image - Output: Bounding box prediction for `cherry_tomato_basket` ## Classes | ID | Class | |---|---| | 0 | cherry_tomato_basket | ## 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("tomato_basket_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/tomato-basket-yolov11n

Source context: 20 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo HyeonCheol1205/tomato-basket-yolov11n