Dataset Versions

v7

2023-06-05 11:15pm

Generated on Jun 5, 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 92%
600Images
Valid Set 4%
26Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 300x300
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Noise: Up to 5% of pixels

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