Dataset Versions

v2

2023-07-28 5:25pm

Generated on Jul 28, 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 72%
1860Images
Valid Set 16%
403Images
Test Set 13%
333Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -32% and +32%
Blur: Up to 2.5px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±26° Horizontal, ±27° Vertical

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