Dataset Versions

v2

2021-10-19 4:38pm

Generated on Oct 19, 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 89%
960Images
Valid Set 7%
74Images
Test Set 5%
50Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Exposure: Between -42% and +42%
Blur: Up to 2.75px
Noise: Up to 13% of pixels
Cutout: 7 boxes with 17% size each

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