GitHub / nive927 / Dubai-Satellite-Imagery-Multiclass-Segmentation
Simulation and performance analysis of 3 benchmark models (Standard U-Net, U-Net with Resnet backbone & U-Net with DeepLabV3+ backbone) for Multiclass Semantic Segmentation of Satellite Images.
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PURL: pkg:github/nive927/Dubai-Satellite-Imagery-Multiclass-Segmentation
Stars: 4
Forks: 3
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 170 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 32
Authors: 4
Mean commits per author: 8.0
Development Distribution Score: 0.344
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/nive927/Dubai-Satellite-Imagery-Multiclass-Segmentation
Topics: computer-vision, deep-learning, keras-tensorflow, multiclass-segmentation, satellite-imagery, segmentation-models