Dataset Versions

v4

2023-09-20 8:08am

Generated on Sep 20, 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 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -99% and +99%
Brightness: Between -25% and +25%
Exposure: Between -35% and +35%
Blur: Up to 6.25px
Noise: Up to 5% of pixels
Mosaic: Applied

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