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Training data refers to data that has been collected to be fed to a machine learning model to help the model learn more about the data.
Training data can be of various forms, including images, voice, text, or features depending on the machine learning model being used and the task at hand to be solved.It can be annotated or unannotated.
When training data is annotated, the corresponding label is referred to as ground truth.
We mean that your dataset will be produced by participants according to your specific specifications, there are no generalised datasets here at Twine AI, unless you specifically want one.
By securing clear and informed consent from participants for use of their data, and giving insight into how this data might be used, we ensure ethical data collection.
Data labeling refers to the annotation process of adding tags or labels to raw data such as images, videos, text, and audio.
These tags form a representation of what class of objects the data belongs to and helps a machine learning model learn to identify that particular class of objects when encountered in data without a tag.
Before an AI system can identify images or analyze text on its own, it must be “trained” with hand-labeled examples. In the case of self-driving cars, that means manually labeling millions of images and videos.
Let’s imagine you want to train a sentiment analysis model. You’ll need to feed the AI model labeled examples (or “training data”) of positive, negative, and neutral sentiment. And beyond that, you’ll need to include sometimes ambiguous phrases that demonstrate human language at its most complex level, like sarcasm and irony – some of the most difficult sentiments for a machine, or even humans, to detect.
Good quality training data is key to determining the success of AI tools. It must be relevant, free from noise (like errors, duplicates, and irrelevant data) and it must be labeled correctly. Get your training data and labels in order and you’ll be able to rely on this information to improve your products, services, and everyday processes.
You determine the mode and speed of delivery. We will provide instructions to each participant regarding the type or recording you require and what metadata needs to be provided, if it needs to be provided. We instruct contributors based on your specification.
Our experienced team takes your project specifications and creates custom procedures designed to maximise success. Your Project Manager is responsible for running the project: writing out the labeling instructions, ensuring the labeling quality is consistent and sourcing expert labelers.
They will be your point person for updates and the achievement of milestones.
The cost is based on the number of unique participants you require and how much work they need need to do.
We work with clients on a rolling monthly subscription, so you cancel or pause at any point. Payments can be made by credit card or invoice depending on the size of the project.
We can create samples if you contact us. We also have our collation of over 100 voice and visual open datasets.
