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Continue reading →: How to Get Machine Learning Training Datasets for Agriculture?
To get the training data for machine learning in agriculture first of all you need to decide what type of AI model you are working or which type of agriculture related datasets you need for your project. Actually, there could be multiple types of machine learning based models that can…
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Continue reading →: How to do Semantic Segmentation using Deep learning
This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model. Nowadays, semantic segmentation is one of the key problems in the field of computer vision. Looking at the big picture, semantic segmentation is one of the high-level task that paves the way…
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Continue reading →: How To Label Data for Machine Learning: Data Labelling in Machine Learning & AI
Data labeling for machine learning is done to prepare the data set that can be used to train the algorithm used to train the model through machine learning. And such data contains the texts, images, audio or videos that are properly labeled to make it comprehensible to machines.
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Continue reading →: How to Create Training Data Set for Machine Learning & AI in Agriculture?
AI is already playing a significant role in various fields, similarly, agriculture is the field where it can be implemented through various applications, system or machines that can perform various actions independently or analyze the useful data for better farming and agriculture.
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Continue reading →: How can AI be used in Retail Industry to Save the Business: Three Ways
How can AI be used in Retail Industry to Save the Business: Three Ways Retail, is one the leading industry in the world contributes to the major portion in the GDP of the country. Although, there is major challenges in the market for this industry, like ecommerce or online retailers, making…
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Continue reading →: What are the Training Data Sets Used to Train the AI Model for Self Driving Cars?
Self-driving cars need to get trained with right amount of data sets so that it can detect various objects precisely and move safely in the right direction. Actually, such training dataset are created through images, in which objects are annotated precisely for accurate detection of such objects. And there are…
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Continue reading →: How to Use Semantic Image Segmentation Annotation for Medical Imaging Datasets?
AI in healthcare is becoming more imperative, with more precise detection of diseases through medical imaging datasets. That helps AI models how to learn and detect the different types of diseases through computer vision technology that is used mainly through machine learning.
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Continue reading →: How AI Can Be Used in Agriculture Sector for Higher Productivity?
Artificial Intelligence (AI) with help of Machine Learning (ML) can create an automated model for different fields. Agriculture and farming are one of the them, provides the food to the majority of populace on this earth that also need such technology to boost its productivity and efficiency.
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Continue reading →: How to Label Image Data for Machine Learning and Deep Learning Training?
Labeling the images to create the training data for machine learning or AI is not difficult task if you tool/software, knowledge and skills to annotate the images with right techniques. Actually, to label the images you need a platform where you get specific tool to draw the outline or annotate…
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Continue reading →: How Data Annotation Companies Manually Label their Data?
Data annotation is the process of labeling the data to make it understandable or recognizable to machines. And there basically, two types of data annotation – manual, which is usually done by humans by hand and automatically, through automated application software.
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Continue reading →: How can I start with AI in agriculture?
To star AI in agriculture you have multiple options to integrate this technology into farming field. Actually, to start AI in agriculture you have to develop an AI model like application, system, robot or machines that can leverage the power this advance technology and boost the productivity.
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Continue reading →: What is the difference between text annotation and text labelling
Annotation and labeling are two interchangeable words used in AI and machine learning. Both are used to create data sets for natural language processing based voice or language recognition system. The texts are either annotated or labeled with the purpose to make the keywords or important words comprehensible to machines…
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Continue reading →: What is the Main Purpose of Video Annotation in Machine Learning and AI?
Just like image annotation, video annotation also helps machines to recognize the objects through computer vision. Basically, the main motive of video annotation is detecting the moving objects in the visual and makes it recognizable with frame-to-frame outlining of objects.
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Continue reading →: How AI is Changing the Retail Industry: Role and Impact with Use Cases
Artificial Intelligence (AI) in retail is changing this industry by playing a crucial role in the various key divisions. From design, to manufacturing, logistic supply chain and marketing, AI in retail is playing a big role in transforming this industry. Actually, in the age of digitalization, AI and machine learning…
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Continue reading →: What is the use of Image Annotations: How To Label Image Dataset?
Annotation and labeling of Images is highly in demand owing to growth in AI and machine learning (ML) developments. The annotation and labeling helps the models developed on AI or ML algorithms to learn from set of data and use for future prediction.
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Continue reading →: What is the Benefits of Contour Annotations While Creating Image Training Data Sets for AI or ML?
Image data sets annotated with Contour annotations definitely have some benefits. Actually, this method of annotation allows you to place contour labels on the contour plots and represent the numerical value of entire contour line. Contour Annotations Benefits for Image Data Sets The best part of this tool is output…
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Continue reading →: How To Get Training Data for Self-Driving Cars or Autonomous Vehicles?
Autonomous driving systems are used to develop the self-driving cars that can operate itself without human instructions. It seems an amazing to see if a vehicle moves automatically while following the traffic rules and regulations for safe driving. But developing such autonomous driving systems is not possible until and unless…
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Continue reading →: Anolytics : Types and Use Cases of Image Annotation for Computer Vision in AI
Image annotation is the process of annotating or labeling the objects in an image to make it recognizable to computer vision for machine learning. And there are different types of image annotation services used for computer vision in machine learning and AI. You can find here what are the image…
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Continue reading →: How to Decide Important Points While Outsourcing Image Annotation?
Things To Consider While Outsourcing The Image Annotation Services
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Continue reading →: What is Data Annotation and What are its Advantages?
AI and machine learning is one the fastest growing technology brining unbelievable innovations providing the advantages to different fields globally. And to create such automated applications or machines, huge amount of training data sets is required.
Anolytics
Anolytics provides image, text, audio and video annotation services for computer vision and machine learning. Companies working on AI-based machine learning technologies who want to build a high-quality model may acquire high-quality annotated data with total confidentiality and anonymity, as well as cost-effective pricing.
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Data Annotation Services for Generative AI | Anolytics 