Dataset Versions

v2

2024-01-12 9:48am

Generated on Jan 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 72%
4911Images
Valid Set 25%
1724Images
Test Set 2%
143Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±11° Horizontal, ±9° Vertical
Blur: Up to 2.5px
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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