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.

computer vision

Beyond the Platform: A Look at Roboflow's Resources for Developers

Create an image that showcases the breadth and depth of Roboflow's developer resources, including tutorials, code snippets, webinars, and examples. The image should feature a variety of visual representations, such as icons, graphs, and charts, to communicate the range of topics covered. The overall design should be clean

sematnic segmentation

Ethical Considerations in AI-powered Segmentation: A Discussion on Segment Anything

The tools we use are changing. Meta's Segment Anything Model (SAM) is now the big player in sorting images using AI. We need to make sure AI does its job fairly, clearly, and with full responsibility. AI is getting smarter and more widespread. That's why we

machine learning

Streamlining Your Workflow: How Roboflow Makes Computer Vision Development Faster

Using Roboflow can be several times cheaper than doing computer vision work in-house. This big difference shows how Roboflow's tools save money and time. Roboflow is trusted by big companies like those in retail, biotech, and oil & gas. It shows how useful it is in many areas.

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