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Contact NeuroBot for Synthetic Data

To evaluate the possibilities of cooperating simply contact us or book an appointment.
We would love to understand your application and discuss ways we can help.


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Let’s get in touch

Email

For any inquiries, feel free to send us an email at contact@neurobot.co. Our team will get back to you as soon as possible, typically within 24-48 hours. Whether you have questions about our services, need support, or want to share feedback, we're here to assist you. Please include as much detail as possible in your message to help us address your needs effectively.

contact@neurobot.co

Office

We welcome visits during our business hours, Monday to Friday, from 9:00 AM to 5:00 PM. If you would like to schedule a meeting or drop by, please give us a call in advance to ensure that the appropriate team member is available to assist you. We strive to provide a welcoming environment where you can discuss your needs in person.

440 N Wolfe Rd, Sunnyvale, CA 94085
FAQs

Frequently asked questions

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Is NeuroBot free to use?

Yes. No credit card is required to use NeuroBot. For functions such as image upload, image annotation, model training and testing, as well as model export and download, there are no usage restrictions and they can be used for free.

How are the synthetic images billed?

Paid customers can generate synthetic images unlimitedly, then use them for training and testing to validate their effectiveness. Finally, they can manually select the synthetic images they are satisfied with, and billing will be based on the number of downloads.

How can I estimate how many synthetic images I need?

Through AI curation technology, we automatically calculate the total number of synthetic images and the quantity of different features. You can refer to our calculations and observe the loss curve during model training to determine whether the data is sufficient and avoid waste.

How can I validate the effectiveness of synthetic data?

Use our verify feature to select popular open-source models like YOLO or Faster R-CNN. By training with a mix of real and synthetic data, or training only with synthetic data while using real images for testing, you can validate the impact of adding synthetic data on detection capabilities and observe improvements in the mAP.

Still have questions?

Tip: By requesting a demo, you may directly schedule a meeting with the co-founder to get your questions answered.