Dataset Versions

v7

2024-07-26 8:51am

Generated on Jul 26, 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 89%
6507Images
Valid Set 5%
386Images
Test Set 6%
407Images

Preprocessing

Static Crop: 0-97% Horizontal Region, 10-100% Vertical Region
Resize: Stretch to 300x150

Augmentations

Outputs per training example: 3
Saturation: Between -58% and +58%
Exposure: Between -43% and +43%

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