Dataset Versions

v6

2024-04-28 12:40pm

Generated on Apr 28, 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%
4875Images
Valid Set 8%
463Images
Test Set 4%
235Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 13% of images
Hue: Between -19° and +19°
Brightness: Between -18% and +18%
Exposure: Between -9% and +9%
Blur: Up to 1.4px
Noise: Up to 0.93% of pixels

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