Dataset Versions

v1

2022-09-22 4:40pm

Generated on Sep 22, 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 94%
1848Images
Valid Set 5%
104Images
Test Set 0%
4Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -5° and +5°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels