Dataset Versions

v6

2024-08-25 10:50pm

Generated on Aug 25, 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.
Other Formats
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Dataset Split

Train Set 80%
1285Images
Valid Set 13%
200Images
Test Set 7%
112Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 5
Brightness: Between -62% and +62%
Blur: Up to 1.1px
Noise: Up to 5.21% of pixels
Cutout: 12 boxes with 5% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical