Tomato Basket Yolov11n

Classes

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.

--- 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.