Dataset Versions

v3

2023-10-04 3:41pm

Generated on Oct 4, 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%
1686Images
Valid Set 8%
160Images
Test Set 4%
80Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±20° Horizontal, ±23° Vertical
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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