Dataset Versions

v2

2024-07-14 12:42pm

Generated on Jul 14, 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 92%
1476Images
Valid Set 5%
74Images
Test Set 3%
50Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Exposure: Between -10% and +10%
Noise: Up to 1.64% of pixels
Bounding Box: Brightness: Between -15% and +15%

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