Sentinel-2 New Anomalies AI4QC
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资源简介：
This dataset was used in the AI4QC project (Artificial Intelligence for Quality Control), in the context of the detection of new anomalies through unsupervised learning (unlabeled data). It consists of 6452 Sentinel-2 images (true color images in jpg format). The dataset was divided into training and testing folders (80% training and 20% testing). Two criterias were considered for the train/test split: seasonality and geographic location.
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Zenodo创建时间：
2024-09-23
