Dataset Versions

v16

2023-11-14 9:36am

Generated on Nov 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 89%
11250Images
Valid Set 7%
909Images
Test Set 4%
507Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 3 rows x 1 columns
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Bounding Box: Brightness: Between -85% and +85%
Bounding Box: Exposure: Between -40% and +40%
Bounding Box: Blur: Up to 9px
Bounding Box: Noise: Up to 12% of pixels

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