Dataset Versions

v12

2023-11-23 12:50pm

Generated on Nov 23, 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 82%
16028Images
Valid Set 10%
2054Images
Test Set 8%
1541Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -5° and +5°
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 3% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 3% of pixels

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