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README.md
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<img src="./media/Maestro_Overview.png" alt="Classes distribution." style="width: 100%; display: block; margin: 0 auto;"/>
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<hr>
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## Pre-training Dataset
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## Cross-dataset Evaluation
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Table 2 — Cross-dataset comparison of MAESTRO and adapted baseline FMs. The baseline FMs are adapted to handle an arbitrary number of dates and/or to retain all modality bands. <br>
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We report wF1 (%) on TreeSatAI-TS and mIoU (%) on PASTIS-HD, FLAIR#2, and FLAIR-HUB.<br>
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| Model | Pre-training dataset | TreeSatAI-TS | PASTIS-HD | FLAIR#2 | FLAIR-HUB |
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|--------------------|-----------------------|--------------|-----------|---------|-----------|
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<img src="./media/Maestro_Overview.png" alt="Classes distribution." style="width: 100%; display: block; margin: 0 auto;"/>
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</div>
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💻 **Code repository:** https://github.com/IGNF/MAESTRO<br>
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📃 **Paper:** https://arxiv.org/abs/2508.10894
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<hr>
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## Pre-training Dataset
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## Cross-dataset Evaluation
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Benchmark results on 4 datasets :
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<p align="center">
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| Model | Pre-training dataset | TreeSatAI-TS | PASTIS-HD | FLAIR#2 | FLAIR-HUB |
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|--------------------|-----------------------|--------------|-----------|---------|-----------|
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