GitHub / souvikmajumder26 / Land-Cover-Semantic-Segmentation-PyTorch
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
Stars: 146
Forks: 25
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 74.4 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 8 days ago
Pushed at: 17 days ago
Last synced at: 7 days ago
Commit Stats
Commits: 29
Authors: 2
Mean commits per author: 14.5
Development Distribution Score: 0.345
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/souvikmajumder26/Land-Cover-Semantic-Segmentation-PyTorch
Topics: ai-project, ai-projects, artificial-intelligence, computer-vision, deep-learning, end-to-end, image-segmentation, landcover, machine-learning-project, machine-learning-projects, ml-project, ml-projects, neural-network, promptable, promptable-segmentation, pytorch, satellite-imagery, segmentation-models-pytorch, semantic-segmentation, unet
Funding Links https://github.com/sponsors/souvikmajumder26, https://buymeacoffee.com/souvikmajumder