Dataset Versions

v17

2024-10-09 11:03am

Generated on Oct 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%
10116Images
Valid Set 8%
960Images
Test Set 4%
481Images

Preprocessing

Resize: Stretch to 320x240
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Exposure: Between -6% and +6%
Blur: Up to 1px
Noise: Up to 0.97% of pixels

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