Dataset Versions

v4

2023-04-09 5:19am

Generated on Apr 9, 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 88%
8031Images
Valid Set 8%
711Images
Test Set 4%
346Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 20 remapped, 3 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±7° Vertical
Brightness: Between -8% and +8%
Blur: Up to 1px

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