Dataset Versions

v6

2022-10-28 1:33am

Generated on Oct 27, 2022

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 87%
801Images
Valid Set 8%
75Images
Test Set 4%
41Images

Preprocessing

Static Crop: 15-96% Horizontal Region, 0-100% Vertical Region

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels

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