Dataset Versions

v2

2022-05-26 12:49pm

Generated on May 26, 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 82%
576Images
Valid Set 9%
64Images
Test Set 9%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416
Tile: 8 rows x 8 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Bounding Box: Flip: Horizontal, Vertical

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