Dataset Versions

v2

2023-07-10 2:07pm

Generated on Jul 10, 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.
Other Formats
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Dataset Split

Train Set 85%
3402Images
Valid Set 9%
349Images
Test Set 7%
262Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Blur: Up to 2.25px
Bounding Box: Noise: Up to 5% of pixels

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