Dataset Versions

v2

2022-05-17 3:39pm

Generated on May 17, 2022

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 91%
1320Images
Valid Set 8%
114Images
Test Set 1%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1028x1028

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -20° and +20°
Brightness: Between -50% and +50%
Blur: Up to 4px
Noise: Up to 10% of pixels
Mosaic: Applied