Dataset Versions

v4

chairr

Generated on Feb 13, 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 82%
1276Images
Valid Set 12%
183Images
Test Set 6%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 2 remapped, 2 dropped

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -6° and +6°
Hue: Between -25° and +25°
Exposure: Between -12% and +12%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -19% and +19%

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