Dataset Versions

v4

2023-06-13 9:16pm

Generated on Jun 13, 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 80%
10119Images
Valid Set 16%
1993Images
Test Set 5%
582Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Modify Classes: 12 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 3% of pixels

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