Dataset Versions

v6

2024-06-17 8:10pm

Generated on Jun 17, 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%
630Images
Valid Set 9%
65Images
Test Set 4%
28Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 1.05% of pixels

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