Binary Semantic Segmentation: Cloud detection with U-net and Activeloop Hub

Star us on Like our dataset format for AI? Give us a ⭐ on GitHub.

- Solutions
  INDUSTRIES
  Agriculture
  Audio Processing
  Autonomous Vehicles & Robotics
  Biomedical & Healthcare
  Multimedia
  Safety & Security
  CASE STUDIES
  IntelinAir
  Learn how IntelinAir generates & processes datasets from petabytes of aerial imagery at 0.5x the cost
  Earthshot Labs
  Learn how Earthshot increased forest inventory management speed 5x with a mobile app
  Company
  About
  Learn about our company, its members, and our vision
  Contact Us
  Get all of your questions answered by our team
  Careers
  Build cool things that matter. From anywhere
  Docs
  Resources
  Blog
  Opinion pieces & technology articles
  Tutorials
  Learn how to use Activeloop stack
  Release Notes
  See what's new?
  News
  Track company's major milestones
  What is Deep Lake?
  Read the whitepaper & academic paper
  Pricing
Log in

Binary Semantic Segmentation: Cloud detection with U-net and Activeloop Hub

- Back
- - Tutorials
Binary Semantic Segmentation: Cloud detection with U-net and Activeloop Hub
In this article, it's cloudy with a chance of U-Net and Hub fixing it. Community member Margaux fixes one of the biggest challenges while working with remote sensing images.
- Margaux Masson-Forsythe
  on Aug 17, 202111 min read
- Share:

- Previous
- - - Blog
  - HDF5 (Hierarchical Data Format 5) vs Hub. Creating performant Computer Vision datasets
  - on Sep 28, 2021
- Next
- - - Tutorials
  - Accelerate your Machine Learning Workflow
  - on Sep 13, 2021

Subscribe to our newsletter for more articles like this

Deep Lake. Data Lake for deep learning applications

Featured by