Dataset Versions

v5

2023-08-11 10:27am

Generated on Aug 11, 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 92%
702Images
Valid Set 6%
45Images
Test Set 2%
18Images

Preprocessing

Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 3% of pixels
Cutout: 2 boxes with 17% size each
Bounding Box: Rotation: Between -15° and +15°