Dataset Versions

v1

2024-01-25 10:48am

Generated on Jan 25, 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
Choose another format.

Dataset Split

Train Set 87%
8313Images
Valid Set 8%
790Images
Test Set 4%
398Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -32% and +32%
Brightness: Between -15% and +15%
Blur: Up to 1.6px
Noise: Up to 0.18% of pixels

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