Dataset Versions

v9

2023-04-17 3:31pm

Generated on Apr 17, 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 88%
2736Images
Valid Set 8%
259Images
Test Set 4%
131Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±35° Vertical
Saturation: Between -25% and +25%
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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