Dataset Versions

v6

2024-10-28 12:51am

Generated on Oct 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.
Other Formats
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Dataset Split

Train Set 88%
333Images
Valid Set 7%
25Images
Test Set 5%
19Images

Preprocessing

Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Hue: Between -11° and +11°
Saturation: Between -24% and +24%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 1.93% of pixels

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