Dataset Versions

v3

2024-07-08 6:51am

Generated on Jul 8, 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 87%
5838Images
Valid Set 8%
558Images
Test Set 4%
281Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 3 columns
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±11° Horizontal, ±13° Vertical
Exposure: Between -14% and +14%
Blur: Up to 2.2px
Noise: Up to 0.1% of pixels

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