Dataset Versions

v5

2024-10-29 6:18pm

Generated on Oct 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 88%
475Images
Valid Set 7%
40Images
Test Set 5%
26Images

Preprocessing

Auto-Orient: Applied
Static Crop: 3-99% Horizontal Region, 24-59% Vertical Region
Resize: Fill (with center crop) in 1080x320
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -10% and +0%

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