Dataset Versions

v4

2024-04-08 10:15am

Generated on Apr 8, 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 88%
3342Images
Valid Set 8%
317Images
Test Set 4%
157Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 360x360

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 1.9px

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