npatel221/Cloud_Classification_DL

Classifying cloud organization patterns from satellite images using Deep Learning techniques (Mask R-CNN)

/ 100

Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 4 / 25

Maturity 1 / 25

Community 12 / 25

Stars

Forks

Language

Jupyter Notebook

License

—

Category

Last pushed

Dec 03, 2019

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/npatel221/Cloud_Classification_DL"

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

developmentseed/label-maker

Data Preparation for Satellite Machine Learning

NRCan/geo-deep-learning

Deep learning applied to georeferenced datasets

DPIRD-DMA/OmniCloudMask

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in...

satellite-image-deep-learning/software

Software for working with satellite & aerial imagery ML datasets