Dataset Versions

v2

2023-05-08 12:20am

Generated on May 7, 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 87%
663Images
Valid Set 8%
63Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 32x32
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Grayscale: Apply to 25% of images
Brightness: Between -17% and +17%
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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