Dataset Versions

v14

2023-01-03 T

Generated on Jan 3, 2023

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 81%
126Images
Valid Set 15%
24Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied

Augmentations

Outputs per training example: 3
Shear: ±9° Horizontal, ±9° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Noise: Up to 4% of pixels
Cutout: 16 boxes with 21% size each
Bounding Box: Rotation: Between -9° and +9°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Noise: Up to 7% of pixels

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