Dataset Versions

v1

2023-11-29 12:53pm

Generated on Nov 29, 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 84%
3312Images
Valid Set 12%
483Images
Test Set 3%
132Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Shear: ±19° Horizontal, ±25° Vertical
Brightness: Between -25% and +25%
Exposure: Between -57% and +57%
Blur: Up to 4px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Exposure: Between -18% and +18%