Dataset Versions

v8

2024-01-10 9:40am

Generated on Jan 10, 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.
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Dataset Split

Train Set 83%
261Images
Valid Set 12%
39Images
Test Set 4%
13Images

Preprocessing

Resize: Fill (with center crop) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -21° and +21°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 1.8% of pixels

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