Dataset Versions

v14

2023-11-16 11:59pm

Generated on Nov 16, 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 87%
8811Images
Valid Set 8%
841Images
Test Set 4%
419Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -37° and +37°
Saturation: Between -86% and +86%
Brightness: Between -51% and +51%
Exposure: Between -74% and +74%
Cutout: 22 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 7% Minimum Zoom, 45% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -34% and +34%
Bounding Box: Noise: Up to 17% of pixels

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