Dataset Versions

v20

seven

Generated on Mar 3, 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.
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Dataset Split

Train Set 93%
1455Images
Valid Set 4%
55Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Blur: Up to 1.3px
Bounding Box: Exposure: Between -10% and +10%

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