Dataset Versions

v2

2024-10-15 8:32pm

Generated on Oct 15, 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 90%
974Images
Valid Set 6%
60Images
Test Set 5%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Blur: Up to 1.5px
Noise: Up to 1.21% of pixels

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