Dataset Versions

v7

2024-09-22 9:25am

Generated on Sep 22, 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 87%
37408Images
Valid Set 12%
4950Images
Test Set 1%
422Images

Preprocessing

Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Tile: 1 rows x 2 columns

Augmentations

Outputs per training example: 2
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.1% of pixels

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