moeen14MIT
Argus Omnimotus Vision Evaluation Dataset
A dataset of 377 labeled images collected on the Argus Omnimotus simulated row-crop testbed for crop and platform detection, overhead task verification, and rail segmentation.
Downloads12
Episodes377
Why This Matters for Physical AI
This dataset enables the development and evaluation of vision-based perception systems for agricultural robotics, specifically for crop detection and navigation in row-crop environments.
Technical Profile
- Modalities
- rgb
- Robot Embodiments
- Argus Omnimotus
- Environment
- labsimulation
- Task Types
- object-detectionimage-segmentation
- Episodes
- 377
- Data Format
- YOLO
- Annotation Types
- bounding_boxessegmentation
- License
- MIT
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