Dataset Versions

v2

2023-09-22 8:55am

Generated on Sep 22, 2023

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 88%
13887Images
Valid Set 8%
1288Images
Test Set 4%
686Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 6px
Noise: Up to 5% of pixels

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