Dataset Versions

v8

2024-06-09 2:28pm

Generated on Jun 9, 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.
Other Formats
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Dataset Split

Train Set 92%
2228Images
Valid Set 8%
192Images
Test Set %
0Images

Preprocessing

Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 960x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Blur: Up to 1px

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