Dataset Versions

v1

2024-06-18 3:56am

Generated on Jun 18, 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%
786Images
Valid Set 8%
66Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±6° Horizontal, ±6° Vertical
Brightness: Between -20% and +20%
Blur: Up to 1.4px
Noise: Up to 0.14% of pixels

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