Dataset Versions

v6

2023-02-27 2:10pm

Generated on Feb 27, 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.
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Dataset Split

Train Set 86%
4554Images
Valid Set 7%
371Images
Test Set 6%
342Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 35% of images
Hue: Between -51° and +51°
Saturation: Between -8% and +8%
Brightness: Between -25% and +25%

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