Dataset Versions

v2

2022-11-01 8:18pm

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.
Other Formats
Choose another format.

Dataset Split

Train Set 96%
1425Images
Valid Set 3%
43Images
Test Set 1%
16Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -60% and +60%
Blur: Up to 2px
Noise: Up to 3% of pixels

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