Dataset Versions

v3

2022-03-25 11:01pm

Generated on Mar 25, 2022

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%
6315Images
Valid Set 8%
601Images
Test Set 4%
301Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Saturation: Between -41% and +41%
Exposure: Between -23% and +23%
Bounding Box: Flip: Vertical

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