Dataset Versions

v5

2023-11-09 11:26am

Generated on Nov 9, 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 85%
576Images
Valid Set 9%
60Images
Test Set 6%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 900x900
Tile: 2 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -20% and +0%
Bounding Box: Shear: ±17° Horizontal, ±13° Vertical

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