Dataset Versions

v2

Last_Version_1

Generated on Dec 16, 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%
645Images
Valid Set 8%
60Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Saturation: Between -38% and +38%
Brightness: Between 0% and +14%
Exposure: Between -5% and +5%
Blur: Up to 2.25px
Bounding Box: Rotation: Between -7° and +7°