Dataset Versions

v1

65237

Generated on Jun 10, 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 79%
1002Images
Valid Set 8%
96Images
Test Set 14%
175Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -46° and +46°
Saturation: Between -42% and +42%
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%

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