Dataset Versions

v1

2022-05-19 11:33am

Generated on May 19, 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%
669Images
Valid Set 6%
41Images
Test Set 3%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -45% and +45%
Exposure: Between -41% and +41%
Blur: Up to 10px
Noise: Up to 7% of pixels
Bounding Box: Brightness: Between -52% and +52%

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