Dataset Versions

v1

2022-11-23 3:59pm

Generated on Nov 23, 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.
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Dataset Split

Train Set 88%
678Images
Valid Set 8%
60Images
Test Set 5%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±21° Horizontal, ±4° Vertical
Saturation: Between -33% and +33%
Brightness: Between -45% and +45%
Exposure: Between -5% and +5%
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 22% Maximum Zoom
Bounding Box: Shear: ±13° Horizontal, ±13° Vertical
Bounding Box: Brightness: Between -24% and +24%
Bounding Box: Blur: Up to 1px

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