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LABELING AS A SERVICE
1. Start phone timer
Add data from your local computer, from URLs, from JSON, from your cloud provider, on-premise data center, or programatically from Python, cURL, or our CLI. Send at least 10 data points to super.AI when you get the response on the website, stop the timer. You'll see that it's under the time you set.
2. Count correct / total
Submit at least 100 data points to which you already know the answer. When you get the response, count how many matched your answers and divide by the total number. You'll see that the result is greater than the accuracy you set.
3. Bonus: compare to other services
Bonus: repeat steps 1 and 2 with another labeling service with at least 100 data points, and you'll you able to reproduce the study below.
You can upload and iterate on your data extremely fast, thereby reducing time and costs.
If you are still building your dataset to train your model, you know this can take a long time. Get access to similar datasets to accelerate your process.
Scales with unlabeled data
Accelerate your unsupervised machine learning projects.
Use any labeling source
You can use humans, software, or AI. What's more, you can use our labelers or your own crowd.
It really doesn't get much easier than this. Submit your data in three easy steps and start integrating AI into your business.
Try us risk free. If you're not seeing the expected results, we give you your money back.
9.2x faster implementation
Forget about month-long integrations, with costly delays and complications. Integrating super.AI is considerably faster.