Dataset Versions

v5

2023-07-17 2:54pm

Generated on Jul 17, 2023

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 85%
69Images
Valid Set 15%
12Images
Test Set %
0Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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