Dataset Versions

v16

2023-07-12 10:36pm

Generated on Jul 13, 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 83%
3823Images
Valid Set 11%
506Images
Test Set 5%
250Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x240
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 2
Blur: Up to 2.5px
Cutout: 4 boxes with 10% size each
Bounding Box: Rotation: Between -4° and +4°
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 5% of pixels

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