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https://github.com/pszemraj/BoulderAreaDetector
An app that uses a CNN to classify whether a satellite image shows an area would be a good rock climbing spot or not. On streamlit.
https://github.com/pszemraj/BoulderAreaDetector
bouldering cnn cnn-classification computer-vision convolutional-neural-networks deep-learning deep-neural-networks fastai geospatial-analysis gis image-classification pytorch remote-sensing resnet rock-climbing satellite-imagery streamlit
Last synced: 3 months ago
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An app that uses a CNN to classify whether a satellite image shows an area would be a good rock climbing spot or not. On streamlit.
- Host: GitHub
- URL: https://github.com/pszemraj/BoulderAreaDetector
- Owner: pszemraj
- License: apache-2.0
- Archived: true
- Created: 2021-07-01T04:22:06.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2021-10-09T16:38:49.000Z (over 3 years ago)
- Last Synced: 2024-08-01T18:25:12.620Z (6 months ago)
- Topics: bouldering, cnn, cnn-classification, computer-vision, convolutional-neural-networks, deep-learning, deep-neural-networks, fastai, geospatial-analysis, gis, image-classification, pytorch, remote-sensing, resnet, rock-climbing, satellite-imagery, streamlit
- Language: Python
- Homepage:
- Size: 135 MB
- Stars: 19
- Watchers: 2
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-climbing-web - BoulderAreaDetector - A project to find boulders from satellite photos (Bouldering 🪨)