Dataset Versions

v4

2024-06-02 2:59pm

Generated on Jun 2, 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 88%
5067Images
Valid Set 8%
455Images
Test Set 4%
222Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 240x180
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Hue: Between -22° and +22°
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 1.3px
Noise: Up to 0.38% of pixels

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