Dataset Versions

v1

2023-01-08 3:11pm

Generated on Jan 8, 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 98%
1335Images
Valid Set 1%
14Images
Test Set 1%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 64% of images
Hue: Between -77° and +77°
Saturation: Between -64% and +64%
Brightness: Between -50% and +50%
Exposure: Between -0% and +0%
Blur: Up to 0px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -18% and +18%

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