Dataset Versions

v13

V3.1 - 224x224

Generated on Nov 1, 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.
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Dataset Split

Train Set 77%
2178Images
Valid Set 22%
637Images
Test Set 1%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 224x224
Modify Classes: 0 remapped, 0 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 1
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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