Dataset Versions

v5

new

Generated on May 16, 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.
Other Formats
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Dataset Split

Train Set 87%
6744Images
Valid Set 8%
628Images
Test Set 4%
344Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 1% of pixels

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