Dataset Versions

v5

2024-01-10 12:25pm

Generated on Jan 10, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 92%
17622Images
Valid Set 2%
369Images
Test Set 6%
1113Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±11° Horizontal, ±11° Vertical
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 4% of pixels

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