Dataset Versions

v5

2024-01-15 7:10pm

Generated on Jan 15, 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 85%
789Images
Valid Set 11%
100Images
Test Set 5%
44Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise
Rotation: Between -13° and +13°
Saturation: Between -29% and +29%
Brightness: Between -22% and +22%
Noise: Up to 0.5% of pixels
Bounding Box: Flip: Horizontal

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