Dataset Versions

v5

2023-06-14 12:49pm

Generated on Jun 14, 2023

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 86%
1980Images
Valid Set 9%
212Images
Test Set 5%
108Images

Preprocessing

Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -24° and +24°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Blur: Up to 1.75px
Cutout: 5 boxes with 12% size each

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