Dataset Versions

v1

2023-01-10 4:17am

Generated on Jan 9, 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.
Other Formats
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Dataset Split

Train Set 69%
1696Images
Valid Set 10%
248Images
Test Set 21%
516Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 14% of images
Brightness: Between -15% and +15%
Blur: Up to 1.25px
Noise: Up to 2% of pixels

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