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Tag: image annotation

Image Labeling
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Wednesday, 12 October 2022 / Published in Data Labeling Services
Four Ways to Speed Up the Process of Image Labeling Using Transfer Learning
Transfer learning (TL) is a method in machine learning. It involves reusing “knowledge” that a model has acquired while being trained to address a specific problem (A) to address a second, similar problem (B). The ability to use experience to address new problems is innate to the human condition. When applied to deep learning, transfer
best image annotation companiesimage annotationimage annotation companiesImage Annotation Servicesimage annotation transfer learningimage labelingimage labeling services
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Types of Image Annotation
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Tuesday, 16 August 2022 / Published in Data Labeling Services
Types of Image Annotation And Their Uses
Image annotation is a method of adding captions to images. It has emerged as an essential mode of communication in the digital era. Image annotation has many use cases in the modern-day workplace. There are ten types of image annotation and their use cases, which will be discussed in detail on this page under the
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Benefits of Using Image Annotation Services in Different Industries
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Thursday, 13 January 2022 / Published in Data Labeling Services
Benefits of Using Image Annotation Services in Different Industries
Image annotation is integral to machine learning and artificial intelligence, especially when using computer vision (CV) models. It is the process where images of a particular dataset are labeled to help train a machine learning model. Different image annotation techniques such as polygon annotations and bounding boxes can do this.  The benefits and importance of
data labeling and annotation servicesdata labeling outsourcingdata labeling servicesimage annotationOutsource data labeling services
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Friday, 17 September 2021 / Published in Data Labeling Services
Outsourcing benefits of manual data labeling services
Companies that rely on internal teams or automation to annotate data often find it difficult to manage increasing workloads and yet assure the same quality, speed, and security. Automation is the first casualty in such instances. Why? A lot of time is spent on perfecting algorithmic models to accurately match complex behavioral patterns and make
data labeling outsourcingdata labeling servicesimage annotationtext annotation
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