https://github.com/tanishkamarrott/semantic-segmentation-using-u-net
Semantic Segmentation using U-Net -Conceptualised a Semantic Segmentation model using the U-Net Architecture. -Trained a convolutional neural network to perform fast and precise segmentation of images by outputting a pixel-wise mask using the modified U-Net, achieving an accuracy of 97%
https://github.com/tanishkamarrott/semantic-segmentation-using-u-net
Last synced: 7 months ago
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Semantic Segmentation using U-Net -Conceptualised a Semantic Segmentation model using the U-Net Architecture. -Trained a convolutional neural network to perform fast and precise segmentation of images by outputting a pixel-wise mask using the modified U-Net, achieving an accuracy of 97%
- Host: GitHub
- URL: https://github.com/tanishkamarrott/semantic-segmentation-using-u-net
- Owner: TanishkaMarrott
- Created: 2021-08-03T09:42:36.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-03T09:42:37.000Z (about 4 years ago)
- Last Synced: 2023-12-11T17:52:27.552Z (almost 2 years ago)
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md