Dataset Versions

v4

added more images 416

Generated on Oct 9, 2021

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 88%
3522Images
Valid Set 8%
335Images
Test Set 4%
168Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -22% and +22%
Brightness: Between -35% and +35%
Exposure: Between -26% and +26%
Blur: Up to 1px
Bounding Box: Brightness: Between -31% and +31%

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