Dataset Versions

v1

2024-08-17 8:31am

Generated on Aug 17, 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%
36224Images
Valid Set 9%
3620Images
Test Set 4%
1584Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Exposure: Between -10% and +10%
Cutout: 4 boxes with 16% size each