Fonyuy45/yolo11-tomato-segmentation
YOLO11-based instance detection/segmentation for tomato ripeness classification with 90.1% mAP
This project helps agricultural professionals automatically classify the ripeness of tomatoes directly from images. You input photos of tomatoes, and it outputs labels indicating whether each tomato is green, half-ripened, or fully-ripened, along with their precise locations. It's designed for farmers, greenhouse operators, and agricultural researchers.
No commits in the last 6 months.
Use this if you need an automated, accurate system to sort tomatoes, estimate crop yield, or guide robotic harvesting based on ripeness.
Not ideal if you are looking for a system to identify tomato diseases or count overall plant health.
Stars
14
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jul 21, 2025
Commits (30d)
0
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