Dataset Versions

v1

2021-12-01 12:50pm

Generated on Dec 1, 2021

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 87%
5220Images
Valid Set 8%
498Images
Test Set 4%
250Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -36% and +36%
Exposure: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -23° and +23°

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