Dataset Versions

v3

2024-03-22 12:18pm

Generated on Mar 22, 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%
660Images
Valid Set 9%
68Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Brightness: Between -8% and +8%
Exposure: Between -6% and +6%
Blur: Up to 0.4px
Noise: Up to 0.22% of pixels

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