GitHub / federicoarenasl / Agricultural-Pattern-Recognition
This project focuses on using the Semantic Segmentation Deep Learning architecture DeepLAbV3+ on the Agriculture-VIsion dataset. We focus on improving the architecture's performance by solving the class imbalance problem present in the data.
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PURL: pkg:github/federicoarenasl/Agricultural-Pattern-Recognition
Fork of tigasgon1999/Agricultural-Pattern-Recognition
Stars: 1
Forks: 0
Open issues: 0
License: None
Language:
Size: 3.16 GB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: 9 months ago
Commit Stats
Commits: 203
Authors: 10
Mean commits per author: 20.3
Development Distribution Score: 0.369
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/federicoarenasl/Agricultural-Pattern-Recognition
Topics: class-imbalance, deep-learning, satellite-imagery, semantic-segmentation