GitHub / hariprasath-v / Zindi-arm-unicef-disaster-vulnerability-challenge
Create a machine-learning algorithm that counts the number of grass-thatch, tin and other roofed houses in aerial (drone) imagery.
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PURL: pkg:github/hariprasath-v/Zindi-arm-unicef-disaster-vulnerability-challenge
Stars: 0
Forks: 0
Open issues: 0
License: apache-2.0
Language:
Size: 14.6 KB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 13 days ago
Topics: exploratory-data-analysis, objectdetection, python, satellite-imagery, wandb, yolov8n, zindi