Dataset Versions

v4

1560-aug-3750

Generated on Dec 16, 2021

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 88%
3282Images
Valid Set 8%
312Images
Test Set 4%
156Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -7% and +7%
Brightness: Between -5% and +5%
Bounding Box: Rotation: Between -3° and +3°
Bounding Box: Shear: ±6° Horizontal, ±6° Vertical

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