Dataset Versions

v4

2023-10-09 3:15am

Generated on Oct 8, 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 85%
3396Images
Valid Set 7%
264Images
Test Set 9%
345Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between 0% and +27%
Exposure: Between -12% and +12%
Blur: Up to 1.75px

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