Data annotation & labeling blog.

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Maxim Dupont

Maxim Dupont is the founder of LabelVisor, a scientist & software engineer. His hobby of writing tech reviews has become his new way of life. His belief is that together we can achieve the best world.

Data Annotator

Navigating the Trends: Data Annotation Jobs in 2024

By 2028, the data annotation market could reach a shocking USD 8.22 billion. This big jump shows how much organizations need data annotation pros to make AI better. Sectors like health and cars are getting more into this. With more use of digital images and mobile tech, jobs in

Data annotation

Accuracy Matters: Evaluating the Performance of Segment Anything

MedSAM is making waves with its vast data. It covers 10 imaging types and 30+ cancer kinds. This groundbreaking work comes from the minds of Xianjie Liu, Keren Fu, and Qijun Zhao. They hail from Sichuan University and China's National Key Laboratory of Fundamental Science on Synthetic Vision.

computer vision

Optimizing Performance: Tips for Training Efficient and Accurate Models with Roboflow

Did you know you can boost a machine learning model's performance from 94% to 97.6% mAP? This big jump showcases how proper dataset management and good annotation practices are key. For example, some classes in a road traffic object detection dataset went up from 60% mAP to

data segmentation

Putting it to the Test: Segment Anything vs. Traditional Segmentation Tools

The SA-1B Dataset is huge, with 11 million images and 1 billion masks. It trains the Segment Anything Model (SAM). This data size has boosted SAM's abilities a lot, setting a high bar in image segmentation. Image segmentation has evolved a lot in computer vision. It groups similar

Data Annotator

Data Annotation Jobs: Understanding Your Earning Potential

Data annotation jobs are key to AI and machine learning development. This field often has numerous open positions, perfect for anyone wanting to grow their career. By joining variousplatforms you can gain valuable skills and increase your income. There are over 100,000 people in the world who have succeeded

machine learning

Deployment Made Easy: How to Put Your Roboflow-Trained Model to Work

Traditional ways of launching models often need big setups. This includes working with Docker's details or using cloud services a lot. Moving to the cloud means more costs as your project grows. But thanks to Roboflow Inference, deploying Roboflow models is now straightforward. It's as easy

image segmentation

Beyond Simple Cutouts: Advanced Segmentation Techniques with Segment Anything

In the swiftly advancing field of computer vision, image segmentation stands out as a vital challenge. It extends past visual comprehension into applications like medical imaging, autonomous vehicles, and more. Thanks to convolutional neural networks (CNNs) and the growth of deep learning, image segmentation has seen significant innovation. Segment Anything