Dataset Versions

v2

2024-01-09 7:46pm

Generated on Jan 9, 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%
231Images
Valid Set 8%
21Images
Test Set 4%
11Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1.96% of pixels

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