Dataset Versions

v1

2022-05-31 12:03pm

Generated on May 31, 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 86%
285Images
Valid Set 5%
15Images
Test Set 9%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Vertical
Rotation: Between -15° and +15°
Hue: Between -180° and +180°
Saturation: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 0.75px
Noise: Up to 1% of pixels