Datasets:
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README.md
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- 900 species (300 each from Rare, Common, and Frequent categories)
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- Format: WebDataset (.tar)
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### 3.
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- Pre-trained GeoTreeCLIP model weights
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- File: `GGT_6M.pth`
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- Trained on the full GlobalGeoTree-6M dataset for 25 epochs
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## Related Repository
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For detailed usage instructions, model implementation, and training scripts, please check our GitHub repository:
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- 900 species (300 each from Rare, Common, and Frequent categories)
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- Format: WebDataset (.tar)
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### 3. checkpoints
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- Pre-trained GeoTreeCLIP model weights
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- File: `GGT_6M.pth`
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- Trained on the full GlobalGeoTree-6M dataset for 25 epochs
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### 4. files
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- Complete sample information file: `GlobalGeoTree.csv`
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- Contains metadata for all samples including:
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- Sample ID
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- Taxonomic information (Family, Genus, Species)
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- Geographic location (latitude, longitude)
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- Source and year of observation
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- Location description
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- Format: CSV
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## Related Repository
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For detailed usage instructions, model implementation, and training scripts, please check our GitHub repository:
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