Dataset Versions

v1

2022-12-17 1:07am

Generated on Dec 16, 2022

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.
Other Formats
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Dataset Split

Train Set 94%
1661Images
Valid Set 4%
71Images
Test Set 2%
41Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Modify Classes: 5 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 8% size each

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