Dataset Versions

v5

2024-11-12 6:37pm

Generated on Nov 12, 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 84%
5847Images
Valid Set 9%
628Images
Test Set 7%
472Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Noise: Up to 0.73% of pixels

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