kai-tub/rico-hdl
A fast and easy-to-use Remote sensing Image format COnverter for High-throughput Deep-Learning (rico-hdl).
This tool helps remote sensing data scientists or researchers prepare large remote sensing image datasets for deep learning. It takes original image files, like those from BigEarthNet or HySpecNet-11k, and converts them into an optimized format for much faster training of deep learning models. The output is a highly performant, framework-independent database ready for your AI experiments.
No commits in the last 6 months.
Use this if you are a remote sensing researcher struggling with slow data loading times when training deep learning models on large satellite or aerial image datasets.
Not ideal if you primarily work with smaller image datasets or do not perform deep learning training with remote sensing imagery.
Stars
12
Forks
2
Language
Python
License
MIT
Category
Last pushed
May 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kai-tub/rico-hdl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
DPIRD-DMA/OmniCloudMask
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in...
developmentseed/label-maker
Data Preparation for Satellite Machine Learning
NRCan/geo-deep-learning
Deep learning applied to georeferenced datasets
satellite-image-deep-learning/software
Software for working with satellite & aerial imagery ML datasets