Dataset Versions

v2

Gen2

Generated on Feb 18, 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 87%
2483Images
Valid Set 8%
237Images
Test Set 4%
118Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -19% and +19%

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