Identify satellite training data (we hope to find pre-labelled images) perhaps from Kaggle? about laika HOT 3 CLOSED

Actual image source likely to be Sentinel 2 and/or images from Google static maps API.
Leaving this open, since model pre-trained on another dataset (e.g., Kaggle DSTL) may be useful for processing actual data (transfer learning, bagging, ensembles etc)

from laika.

• DSTL - Kaggle
• Draper Satellite Image Chronology - Kaggle
• Understanding the Amazon from Space - Kaggle
• Ships in Satellite Imagery - Kaggle - From Open California dataset.
• 2D Semantic Labelling - Vaihingen data - This is from a true orthophotographic survey (from a plane). The data is 9cm resolution!
• SAT-4 and SAT-6 airborne datasets - very high res (1m) whole of US. 65 Terabytes. (DeepSat) 1m/px. (2015). SAT-4: barren land, trees, grassland, other. SAT-6: barren land, trees, grassland, roads, buildings, water bodies. (RGB + NIR)

from laika.

https://github.com/developmentseed/skynet-data

from laika.