Dataset Versions

v1

2022-07-05 11:49am

Generated on Jul 5, 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.
Other Formats
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Dataset Split

Train Set 87%
726Images
Valid Set 8%
68Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Exposure: Between -13% and +13%
Blur: Up to 1.25px
Noise: Up to 8% of pixels
Bounding Box: Brightness: Between -25% and +0%
Bounding Box: Blur: Up to 5.25px

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