Dataset Versions

v2

2022-12-19 8-49am-

Generated on Dec 19, 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 92%
7794Images
Valid Set 4%
325Images
Test Set 4%
324Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Brightness: Between -53% and +53%
Blur: Up to 3px
Noise: Up to 7% of pixels
Bounding Box: Noise: Up to 5% of pixels

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