Dataset Versions

v1

2024-06-01 9:00pm

Generated on Jun 2, 2024

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%
14748Images
Valid Set 8%
1413Images
Test Set 4%
706Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Brightness: Between -10% and +10%
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -30° and +30°
Bounding Box: Shear: ±3° Horizontal, ±3° Vertical

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