Dataset Versions

v2

2023-08-19 5:18pm

Generated on Aug 19, 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 82%
1366Images
Valid Set 12%
193Images
Test Set 6%
103Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Grayscale: Apply to 35% of images
Hue: Between -35° and +35°
Saturation: Between -35% and +35%
Brightness: Between -35% and +35%
Exposure: Between -35% and +35%
Blur: Up to 3px
Noise: Up to 5% of pixels

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