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GitHub / sovit-123 / CamVid-Image-Segmentation-using-FCN-ResNet50-with-PyTorch

Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sovit-123%2FCamVid-Image-Segmentation-using-FCN-ResNet50-with-PyTorch
PURL: pkg:github/sovit-123/CamVid-Image-Segmentation-using-FCN-ResNet50-with-PyTorch

Stars: 14
Forks: 3
Open issues: 2

License: mit
Language: Python
Size: 11.5 MB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: 7 months ago
Pushed at: over 4 years ago
Last synced at: 2 months ago

Topics: camvid-dataset, camvid-image-segmentation, computer-vision, convolutional-neural-networks, deep-learning, fcn, image-segmentation, neural-network, pytorch, resnet-50, semantic-segmentation

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