Improve Your AI/ML Model’s Performance With Image Annotation Services

 

Have you noticed how features like speech recognition, online fraud detection, traffic prediction, autonomous vehicles, etc., impact our day-to-day activities? Aren’t they making our lives better, slowly and gradually? Computer vision is an application of machine learning that gives computers the power of vision to perform such tasks.

Thanks to computer vision technology, computers can “see” and interpret the world around them, much like we humans do. And image annotation is the process, which makes this possible and unlocks the true power of technology.

Image annotation for machine learning is the foundation behind numerous smart products you interact with. In this process, tags and/or metadata are added to the object of interest you want your smart model to recognize. These tagged images are then put to use for training the computer vision-based models to identify those objects in the real-world (or when presented with fresh, unlabeled data).

Let me put it this way: think about when you were young—at some point, you learned what a dog was. Over time, after seeing so many dogs, you started to understand how a dog was different from a pig or a car and got to know about the different breeds of dogs. Similarly, computers need examples to learn how to classify things. Image annotation for the machine learning process provides examples in a way that’s easily understandable for the computer.

 

Image Annotation Applications

The number of projects relying on image annotation has grown significantly with the increased availability of image data. Here’s a list of compelling use cases of image annotation for machine learning across industries:

 

•       Healthcare

Doctors are leveraging AI-powered solutions to supplement their diagnoses. Deep learning models can efficiently examine radiology images to detect the possibilities of certain cancers being present. Take another case in point, data professionals train models using thousands of CT scans labeled with non-cancerous and cancerous spots until the smart model learns to differentiate on its own. Though AI isn’t replacing doctors anytime, it can be used for crucial health decisions as a gut check.

 

•       Finance

Though the finance industry is far from harnessing the power of image annotation projects fully, several companies are still making waves in this space. Some banks use face recognition technology to cross-check and verify the identity of people withdrawing money from ATMs. It is done via an image annotation process known as pose-point that maps facial features such as mouth, eyes, ears, nose, and son. Apart from this, facial recognition proves to be a faster and more precise way of determining identity and reducing the risk of potential fraud.

 

•       Agriculture

Farmers use AI for countless benefits like evaluating soil, estimating crop yield, and more using drones and satellite imagery. In practice, images are used to differentiate between crops and weeds at pixel level. These annotated images are then used to apply pesticides, i.e., only on the areas where weeds are growing rather than the entire field. This also helps in saving substantial amounts of money invested in pesticide use each year.

 

•       Retail

Do you want to deliver the right results for a specific item such as someone searching for legging? Computer vision powered by image annotation makes it possible. Using image recognition services, you can build a model that can efficiently look through a product catalog and deliver results that the user is looking for.

Apart from this, robots are being used to pilot in the stores. These bots scan and collect images of shelves to determine if a product is out of stock or low indicating that it needs reordering. They can also scan barcode images using a process known as image transcription to gauge product information.

 

•       Manufacturing

Image annotation helps manufacturers to capture warehouse inventory information. Computer vision-based models are trained to evaluate sensory image data to determine if a product needs additional units or is soon to be out-of-stock. Some manufacturers also leverage image annotation projects to govern infrastructure within the plant and recognize specific faults or failures; thus, leading to better maintenance overall and driving faster fixes.

 

Why Should You Outsource Image Annotation Services?

Know that the performance of your machine learning model depends on the quality and accuracy of its training data.

You must use precise and relevant data to prepare input datasets to be fed into the machine learning algorithms. Consulting experienced professionals or engaging in image annotation services is, therefore, a smarter choice as labeling every pixel of the image data sets is a significant undertaking. Enjoy the benefits as listed here:

 

•       Professional Excellence

One of the conspicuous advantages of collaborating with reputed companies is professional excellence. They have a pool of data professionals, competent annotators, and subject matter experts hired from around the world. They label each dataset accurately to help the machine learning algorithms evolve and grow.

 

•       Technological Competence

Labeling every pixel of the image is a significant undertaking. Addressing this fact, the data labelers leverage automated tagging tools to add tags and descriptions to datasets of varying complexities. They use techniques like semantic segmentation, 2D bounding box, 3D point cloud, polylines, etc., to label each part of the image accurately.

 

•       Quality with Accuracy

The professionals lay special emphasis on the quality and accuracy of the data used. They understand the AI/ML model’s use case properly and accordingly label the input datasets. This helps the computer vision models to calculate attributes easily and deliver reliable outcomes.

 

In the End…

Artificial intelligence combined with machine learning is one of the driving forces of the next industrial revolution that impacts industries ranging from finance to agriculture and everything in between. Image annotation in machine learning is one of the ways to create smart models that make our lives much easier.

Also, remember that the computer vision model is as smart as the data it is fed with. Investing in professional image recognition services, therefore, helps you get accurate quality data and improve the performance of your smart models.

All you have to do is collaborate with experienced vendors like Damco. They offer quality image annotation services and image recognition services at cost-effective rates. Having the right blend of skills and experience ensures excellence in every outcome.

 

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