Dataset Versions

v4

2024-07-11 4:51pm

Generated on Jul 11, 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 90%
132Images
Valid Set 5%
8Images
Test Set 5%
7Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%
Blur: Up to 1.1px
Bounding Box: Exposure: Between -4% and +4%
Bounding Box: Noise: Up to 0.18% of pixels

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