Dataset Versions

v7

2024-04-07 1:15am

Generated on Apr 6, 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 91%
3713Images
Valid Set 6%
256Images
Test Set 3%
118Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 96% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -4° and +4°
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 1.01% of pixels

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