CVPPA@ECCV24 Detection and Multi-Object Tracking of Sweet Peppers Challenge
University of Bonn, Photogrammetry and Robotics Lab
Before trusting an AI system on a farming or food task you need a way to check it. Tracks sweet pepper fruit across RGB-D robot sequences with heavy occlusion and illumination variation, scored using HOTA.
QUICK INFO
SOLUTION TYPE
Models, data & tools
TECHNOLOGY CATEGORY
Benchmarks & evaluations
AREA OF WORK
Research & scientific knowledge
ACCESS
Free
DEPLOYMENT
Cloud-hosted
SOURCE REVIEWED
August 17, 2026
What it helps with
- Track peppers as a robot moves through the crop
- Count fruit without counting it twice
- Handle hidden fruit and changing light
- Test tracking on sweet pepper footage
- Compare fruit tracking models
Scope & audience
WHO IT'S FOR
Scientist / researcher · Developer / AI builder
AREA OF WORK
Research & scientific knowledge
COMMODITY / SCOPE
Cross-commodity
Access & technical details
ACCESS
Anyone can get it
INTERFACE
Hosted leaderboard
DEPLOYMENT
Hosted by the publisher
LANGUAGES
Not stated by provider
Featured media
Source information
This listing was compiled from publicly available source material. Verify current details with the provider.
PROVIDER DOCUMENTATION
Reviewed August 2026
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