Dataset Versions

v6

2022-07-25 6:39pm

Generated on Jul 25, 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 82%
1670Images
Valid Set 12%
234Images
Test Set 6%
126Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Tile: 8 rows x 8 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Brightness: Between -35% and +35%
Blur: Up to 1.5px
Noise: Up to 20% of pixels
Cutout: 25 boxes with 2% size each

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