Dataset Versions

v1

2022-10-14 1:08pm

Generated on Oct 14, 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 91%
6933Images
Valid Set 2%
179Images
Test Set 6%
486Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -9° and +9°
Saturation: Between -35% and +35%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -13% and +13%