Dataset Versions

v2

2023-10-24 6:19pm

Generated on Oct 24, 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%
15555Images
Valid Set 7%
1259Images
Test Set 1%
106Images

Preprocessing

Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Hue: Between -20° and +20°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1px

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