Dataset Versions

v15

2024-08-24 9:38am

Generated on Aug 24, 2024

Popular Download Formats

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 87%
24240Images
Valid Set 13%
3568Images
Test Set %
0Images

Preprocessing

Static Crop: 15-85% Horizontal Region, 0-100% Vertical Region
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Noise: Up to 0.61% of pixels

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