Dataset Versions

v2

2022-07-31 1:15am

Generated on Jul 30, 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 88%
465Images
Valid Set 7%
39Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -8° and +8°
Grayscale: Apply to 25% of images
Hue: Between -180° and +180°
Brightness: Between -36% and +36%
Blur: Up to 1.5px
Noise: Up to 5% of pixels