Dataset Versions

v2

V1

Generated on Apr 26, 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%
1188Images
Valid Set 9%
116Images
Test Set 4%
56Images

Preprocessing

Resize: Stretch to 320x240
Filter Null: Require at least 87% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±7° Horizontal, ±10° Vertical
Exposure: Between -15% and +15%

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