Dataset Versions

v4

2022-04-01 10:01am

Generated on Apr 1, 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 88%
135Images
Valid Set 8%
13Images
Test Set 4%
6Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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