Dataset Versions

v2

2024-08-15 2:49pm

Generated on Aug 15, 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 89%
147Images
Valid Set 8%
13Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Brightness: Between -25% and +25%
Blur: Up to 5.7px
Noise: Up to 1.21% of pixels

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