Dataset Versions

v16

additional images

Generated on Feb 4, 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 89%
516Images
Valid Set 8%
45Images
Test Set 4%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320
Filter Null: Require at least 5% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.1% of pixels

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