Dataset Versions

v2

2024-02-28 11:48am

Generated on Feb 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 79%
6600Images
Valid Set 20%
1704Images
Test Set 1%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -23% and +23%
Exposure: Between -14% and +14%
Noise: Up to 1.64% of pixels

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