Dataset Versions

v2

2023-01-30 5:34pm

Generated on Jan 30, 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 96%
1677Images
Valid Set 2%
41Images
Test Set 2%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Modify Classes: 45 remapped, 5 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -30% and +30%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 3% of pixels
Cutout: 7 boxes with 7% size each
Mosaic: Applied

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