Dataset Versions

v5

2023-05-25 2:49pm

Generated on May 25, 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 85%
3046Images
Valid Set 9%
320Images
Test Set 6%
216Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Modify Classes: 7 remapped, 0 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Brightness: Between -15% and +15%
Noise: Up to 4% of pixels
Bounding Box: Flip: Horizontal

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