Smart Data Collective
JULY 1, 2023
One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. It involves human annotators using a tool to label images or tag relevant information. High-quality annotations lead to better model performance and more reliable results.
Smart Data Collective
JUNE 22, 2023
Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Simply put, data labeling involves annotating data to instruct a model on how to do the same. Tools for labeling data (also known as data annotation ) using AI offer a formal framework for annotation.
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CIO
AUGUST 24, 2023
As part of that work, Bala and his team of data scientists undertook extensive analysis of internal and third-party data to identify data sets critical for developing an effective partner prioritization data science strategy. “We
Smart Data Collective
MAY 29, 2023
When annotators train data with biased information, the model learns and replicates these biases, resulting in inaccurate translations and reinforcing discriminatory narratives. Critically examining the labeling process and ensuring unbiased annotations will enhance the performance and fairness of AI translation models.
Aqute Intelligence
APRIL 18, 2023
Competitor analysis helps companies make better strategic decisions and rise to the top. Below, you’ll read about some of the tools that you can use for data extraction and monitoring in competitive analysis projects. You can use the built-in competitor analysis features to get simple visualizations without complication.
Smart Data Collective
AUGUST 11, 2022
This massive undertaking requires input from groups of people to help correctly identify objects, including digitization of data, Natural Language Processing, Data Tagging, Video Annotation, and Image Processing. Even as more data for analysis and learning is available, AI will continue to grow. Elimination of Human Mistakes.
Netbasequid
APRIL 8, 2022
In this two-part series, we interviewed NetBase Quid TM Data Scientist, Michael Dukes, to help us break down precisely what sentiment analysis is, how it works, and the technological processes that differentiate “accurate” from “okay” analyses. In fact, there are a number of problems with the applicability of such systems to real world data.
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