Dataset Versions

v8

2022-04-01 8:28pm

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.
Other Formats
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Dataset Split

Train Set 89%
960Images
Valid Set 6%
60Images
Test Set 6%
60Images

Preprocessing

Auto-Orient: Applied
Static Crop: 28-77% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 416x416
Tile: 4 rows x 3 columns
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±0° Horizontal, ±10° Vertical
Exposure: Between -29% and +29%