Dataset Versions

v5

2024-04-02 9:22am

Generated on Apr 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 86%
8532Images
Valid Set 11%
1078Images
Test Set 3%
278Images

Preprocessing

Resize: Stretch to 640x640
Tile: 2 rows x 1 columns
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Brightness: Between -5% and +5%
Exposure: Between -8% and +8%
Blur: Up to 0.3px
Noise: Up to 0.5% of pixels

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