Dataset Versions

v2

2024-11-05 5:32am

Generated on Nov 5, 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 90%
180Images
Valid Set 5%
10Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -13% and +13%

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