Dataset Versions

v2

2022-07-31 9:01am

Generated on Jul 31, 2022

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%
570Images
Valid Set 9%
60Images
Test Set 5%
32Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±20° Horizontal, ±31° Vertical
Hue: Between -25° and +25°
Exposure: Between -50% and +50%

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