Dataset Versions

v2

Augmented 3x

Generated on Feb 24, 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 83%
6198Images
Valid Set 12%
874Images
Test Set 5%
393Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 256x256
Modify Classes: 3 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±30° Vertical
Blur: Up to 1px
Noise: Up to 1% of pixels