Dataset Versions

v5

2024-05-29 7:05pm

Generated on May 29, 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 83%
191Images
Valid Set 11%
25Images
Test Set 6%
14Images

Preprocessing

Auto-Orient: Applied
Static Crop: 3-88% Horizontal Region, 7-85% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Bounding Box: Exposure: Between -88% and +88%

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