Dataset Versions

v5

2023-03-14 3:59pm

Generated on Mar 14, 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 88%
7011Images
Valid Set 4%
300Images
Test Set 8%
657Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -31° and +31°
Brightness: Between -52% and +52%
Exposure: Between -28% and +28%
Blur: Up to 2px
Noise: Up to 5% of pixels

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