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This model was used in the context of https://www.kaggle.com/competitions/building-extraction-generalization-2024/overview challenge (after ending).

Trained on the tomascanivari/buildings-extract-coco-hf dataset for 12 epochs.

On the test set:

  • Achieved around 0.85 pixel-wise values in the metrics: precision, recall, f1-score and accuracy.

  • Achieved around 0.60 object-wise f1-score (target metric).

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