Dataset Versions

v4

2021-12-25 4:53pm

Generated on Dec 25, 2021

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 87%
834Images
Valid Set 8%
80Images
Test Set 4%
40Images

Preprocessing

Resize: Stretch to 1280x1024

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 20% of images
Hue: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 3% of pixels