Dataset Versions

v1

2023-09-14 12:50am

Generated on Sep 13, 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 94%
11619Images
Valid Set 6%
692Images
Test Set 0%
46Images

Preprocessing

Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -14% and +14%
Exposure: Between -5% and +5%
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 5% Maximum Zoom

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