Dataset Versions

v2

2024-12-12 10:57pm

Generated on Dec 12, 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.
Other Formats
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Dataset Split

Train Set 87%
288Images
Valid Set 8%
28Images
Test Set 4%
14Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Bounding Box: Brightness: Between -49% and +49%
Bounding Box: Blur: Up to 14.6px
Bounding Box: Noise: Up to 4.45% of pixels