Dataset Versions

v17

2024-03-21 11:15am

Generated on Mar 21, 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 86%
17880Images
Valid Set 8%
1636Images
Test Set 6%
1236Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Noise: Up to 5.01% of pixels
Cutout: 5 boxes with 10% size each

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