Dataset Versions

v10

not small but same

Generated on Oct 4, 2021

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 87%
3324Images
Valid Set 9%
326Images
Test Set 4%
160Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±13° Horizontal, ±0° Vertical
Exposure: Between -1% and +1%
Blur: Up to 6.25px
Bounding Box: Brightness: Between 0% and +12%

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