Dataset Versions

v1

2024-07-28 3:24pm

Generated on Jul 28, 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 92%
12723Images
Valid Set 4%
533Images
Test Set 4%
532Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -30° and +30°
Grayscale: Apply to 10% of images
Hue: Between -32° and +32°
Saturation: Between -35% and +35%
Brightness: Between -36% and +36%
Exposure: Between -25% and +25%
Blur: Up to 2px

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