Dataset Versions

v2

2023-10-18 5:10pm

Generated on Oct 18, 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 76%
70Images
Valid Set 18%
17Images
Test Set 5%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -20% and +20%
Brightness: Between -40% and +40%
Blur: Up to 1px
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -8% and +8%

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