CLARU
unileon-roboticscc-by-sa-4.0

VERIDIS Dataset

A collection of annotated agricultural images for crop detection and identification, comprising field images of beet and corn crops captured by a ground-level robotic platform organized in YOLO format for object detection tasks.

Downloads19
Episodes10077
Likes1

Why This Matters for Physical AI

This dataset enables development and evaluation of crop detection and precision agriculture robotics systems, particularly for early-stage plant monitoring and autonomous weeding applications in real-world agricultural environments.

Technical Profile

Modalities
rgbdepth
Robot Embodiments
ground-level robotic platform
Environment
agricultureoutdoor
Task Types
object-detectionplant detectioncrop identification
Episodes
10077
Data Format
YOLO
Annotation Types
bounding_boxesobject_labels
License
cc-by-sa-4.0
Part of the VERIDIS Dataset family

Access

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