Dataset Versions

v2

2024-04-06 9:28am

Generated on Apr 6, 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%
13686Images
Valid Set 15%
2356Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Hue: Between -95° and +95°
Brightness: Between -10% and +0%
Noise: Up to 7.11% of pixels
Bounding Box: Brightness: Between 0% and +50%
Bounding Box: Exposure: Between -20% and +20%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 7.03% of pixels

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