Dataset Versions

v2

2023-03-30 1:37am

Generated on Mar 30, 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%
7428Images
Valid Set 8%
704Images
Test Set 4%
340Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 16 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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