Dataset Versions

v14

2022-12-11 3:03pm

Generated on Dec 11, 2022

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 64%
998Images
Valid Set 30%
464Images
Test Set 7%
109Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 1% of pixels

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