Dataset Versions

v1

2024-04-23 2:41pm

Generated on Apr 23, 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 87%
798Images
Valid Set 7%
68Images
Test Set 5%
48Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Shear: ±13° Horizontal, ±8° Vertical
Saturation: Between -25% and +25%
Brightness: Between -14% and +14%
Exposure: Between -10% and +10%

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