Dataset Versions

v2

2024-03-04 10:12pm

Generated on Mar 4, 2024

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 84%
20775Images
Valid Set 9%
2150Images
Test Set 8%
1875Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-50% Horizontal Region, 25-50% Vertical Region
Resize: Stretch to 640x640
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -48% and +48%
Noise: Up to 0.1% of pixels
Cutout: 5 boxes with 41% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical

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