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
JSON representation

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 (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-10-09T16:38:49.000Z (over 3 years ago)
• Last Synced: 2024-11-07T03:41:49.641Z (8 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: 20
• Watchers: 2
• Forks: 3
• Open Issues: 0
• 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 🪨)