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Month: June 2020

Learning Spiral AI > Blogs > 2020 > June
Data labeling service

AI in Agriculture

  • June 8, 2020
Presently, many startups in the agriculture sector are adapting new and effective AI-enabled approaches to increase the efficiency of agricultural production and there many use cases under which the agriculture sector is benefited through AI. The major factors such as climate change, food security, advanced agricultural techniques, Checking and...
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Data labeling service

Accelerating AI with Data Annotation

  • June 3, 2020
One of the biggest AI problems is lack of Quality Training Data and the only solution for quality training data is “Data Annotation”  Data annotation plays a very important role in ascertaining your AI and machine learning projects are trained with the right information to learn from. Data annotation...
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Image Annotation Services

Why is image annotation important for AI?

  • June 3, 2020
Image Annotation  Image Annotation is a task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. This is a very important task as this data helps generate datasets that help computer vision models work in a...
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Data Annotation

Know-How AI is making sentiment analysis simple

  • June 3, 2020
Sentiment & intent analysis  Under Sentiment analysis we inspect user input and identify the prevailing subjective opinion, especially to determine a user’s attitude as positive, negative, or neutral. When making a detect intent request, you can specify that sentiment analysis is performed, and the response will contain sentiment analysis...
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Data Annotation

Know More About Search & Recommendation Systems in Machine Learning

  • June 1, 2020
Machine Learning is basically about evolving patterns and manipulating those patterns with different algorithms. In order to evolve, develop and maintain those patterns there is a lot of rich data required through Data Labeling companies because the data needs to represent as many potential outcomes from as many potential...
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