Dataset Versions

v12

2024-07-09 7:57pm

Generated on Jul 9, 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 69%
1096Images
Valid Set 17%
264Images
Test Set 14%
219Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.77% of pixels

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