Dataset Versions

v3

2023-06-28 9:12am

Generated on Jun 28, 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.
Other Formats
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Dataset Split

Train Set 87%
2304Images
Valid Set 8%
219Images
Test Set 4%
112Images

Preprocessing

Static Crop: 25-96% Horizontal Region, 41-95% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Exposure: Between -26% and +26%
Noise: Up to 13% of pixels

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