jaspersiebring/GeoCOCO
Tool for converting GIS annotations to Microsoft's Common Objects In Context (COCO) datasets
This tool helps geospatial analysts and researchers convert their existing GIS annotations, typically from satellite or aerial imagery, into the COCO dataset format. You provide your annotated geographic images and their corresponding vector labels, and it outputs a COCO-formatted JSON file and smaller image subsets. This is for anyone who works with geographic imagery and needs to prepare labeled data for machine learning tasks like object detection.
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Use this if you have object annotations in GIS vector files (like shapefiles) and need to convert them into the standard COCO dataset format for training or evaluating object detection models.
Not ideal if you don't work with geospatial imagery or your annotations are not already in a GIS-compatible vector format.
Stars
15
Forks
2
Language
Python
License
GPL-3.0
Category
Last pushed
May 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/jaspersiebring/GeoCOCO"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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