What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in ai & ml training data category. Our data sources in ai & ml training data category include;
Labeled and unlabeled datasets including thousands of records, videos, annotated texts, and images are used to train AI and ML algorithms. This data enables building, training, and testing machine learning models to perform at better accuracy and avoid overfitting.
If you’d like to learn about the ecosystem consisting of AI & ML Training Data and others, feel free to check AIMultiple Industry Data.
AIMultiple is data driven. Evaluate 64 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
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Automaton AI Image Data - household daily used objects
Unicourt Court Data API - USA court records (AI normalized)
Unicourt Attorney Data API - USA attorney data matched to court records (AI normalized)
Unicourt Law Firm Data API - USA legal data on law firms (AI normalized)
Unicourt Judge Data API - USA judges in state and federal courts (AI normalized)
auto-suggest capability via machine learning in smart nas, phase i
large-scale data analysis using machine learning framework for trajectory prediction algorithms, phase i
Subpico Datasets for Real-Time Machine Learning (Global Data Coverage)
We use the data sources on the side for ranking solutions and awarding badges in ai & ml training data category. Our data sources in ai & ml training data category include;
review websites
social media websites
search engine data for branded queries