Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
This resource provides a curated list of over 180 annotated datasets crucial for developing and evaluating machine learning methods for remote sensing. It takes satellite or airborne imagery/radar data and outputs links to datasets with statistics like image count, volume, and specified tasks (e.g., classification, object detection). This is ideal for remote sensing researchers, geospatial analysts, and machine learning practitioners working with satellite imagery.
363 stars. No commits in the last 6 months.
Use this if you are a researcher or practitioner in remote sensing looking for benchmark datasets to train or test machine learning models for tasks like land cover classification or object detection in satellite imagery.
Not ideal if you need point cloud datasets or are looking for a tool to perform image processing directly rather than discover data.
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Mar 30, 2024
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Get this data via API
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