Dataset Versions

v2

2023-06-05 4:46pm

Generated on Jun 5, 2023

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 82%
7704Images
Valid Set 12%
1099Images
Test Set 6%
579Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 2
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 4% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 1px

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