Dataset Versions

v15

2022-05-19 2:27am

Generated on May 18, 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.
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Dataset Split

Train Set 69%
226Images
Valid Set 19%
62Images
Test Set 12%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 412x412

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -27% and +27%
Blur: Up to 10px
Noise: Up to 5% of pixels

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