Dataset Versions

v4

2023-03-16 10:15am

Generated on Mar 16, 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 56%
1649Images
Valid Set 22%
648Images
Test Set 23%
672Images

Preprocessing

Tile: 9 rows x 9 columns
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 1
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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