Dataset Versions

v7

small_object

Generated on Mar 29, 2022

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 55%
5391Images
Valid Set 35%
3420Images
Test Set 10%
972Images

Preprocessing

Resize: Stretch to 1024x1024
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
Rotation: Between -35° and +35°
Noise: Up to 10% of pixels
Mosaic: Applied

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