Dataset Versions

v2

2023-04-13 2:23pm

Generated on Apr 13, 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.
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Dataset Split

Train Set 92%
7875Images
Valid Set 4%
330Images
Test Set 4%
330Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 45-68% Horizontal Region, 21-51% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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