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Data Augmentation Studio:
no-code tool to generate your synthetic image dataset
Real images are not enough to train a model. We also need synthetic data. Generate an augmented dataset tailored to your use case for object detection models like Yolo v8 using our data-centric no-code tool.
In Kiadam Data Augmentation Studio , you can visually select the augmentation transformations and parameters. Our tool will then generate the augmented dataset randomly.
If you want to try our tool for free for 30 days, send your request to german@kiadam.com
01
Not enough data and low robustness
Bad performance of trained model in real world
02
Not enough Precision, Recall and mAP
Available real world dataset is not enough to achieve desired metrics
03
Not enough time
Prepare a dataset is a time consuming task
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