Dataset Versions

v1

2022-10-07 6:37am

Generated on Oct 7, 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 92%
957Images
Valid Set 6%
60Images
Test Set 2%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x800
Tile: 3 rows x 4 columns
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 2% of pixels
Mosaic: Applied

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