Dataset Versions

v4

2023-07-27 7:06pm

Generated on Jul 28, 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.
Other Formats
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Dataset Split

Train Set 89%
24000Images
Valid Set 8%
2176Images
Test Set 2%
640Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Grayscale: Applied
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 10% of pixels

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