Dataset Versions

v5

2023-01-27 8:15am

Generated on Jan 27, 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 95%
2928Images
Valid Set 4%
124Images
Test Set 1%
44Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Tile: 2 rows x 2 columns
Modify Classes: 39 remapped, 2 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±14° Horizontal, ±14° Vertical
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
Blur: Up to 0.25px
Noise: Up to 2% of pixels
Cutout: 12 boxes with 9% size each

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