Dataset Versions

v3

2024-07-02 4:19pm

Generated on Jul 2, 2024

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%
2722Images
Valid Set 7%
212Images
Test Set 5%
142Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x480
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.6% of pixels

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