GitHub / gadirajus13 / Aerial-Semantic-Segmentation
A custom YOLO_UNet approach for conducting semantic segmentation from Drone images for 22 distinct classes
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PURL: pkg:github/gadirajus13/Aerial-Semantic-Segmentation
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License: None
Language: Jupyter Notebook
Size: 71.9 MB
Dependencies parsed at: Pending
Created at: 11 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago
Topics: aerial-images, deep-learning, fully-convolutional-networks, image-segmentation, semantic-segmentation, unet-image-segmentation, yolov5