Dataset Versions

v5

augmented

Generated on Nov 16, 2021

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 88%
1222Images
Valid Set 10%
135Images
Test Set 2%
25Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 10 rows x 10 columns
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between -10% and +10%

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