Dataset Versions

v1

2023-07-20 7:48am

Generated on Jul 20, 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 89%
12429Images
Valid Set 7%
972Images
Test Set 4%
599Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -11° and +11°
Saturation: Between -20% and +20%
Brightness: Between -18% and +18%
Blur: Up to 1.5px
Noise: Up to 6% of pixels

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