Dataset Versions

v2

2023-10-27 7:34pm

Generated on Oct 27, 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.
Other Formats
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Dataset Split

Train Set 91%
2508Images
Valid Set 7%
184Images
Test Set 3%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -37° and +37°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 2.5px

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