data annotation - Labellerr (Page 4)

data annotation

A collection of 81 posts

Pothole detection for autonomous self-driving cars

data annotation

Pothole Detection and Avoidance: Driving Autonomy to the Next Level

In order to achieve full self-driving, a system would have to be able to handle a wide range of different scenarios, including different weather and road conditions. Then there are potholes. It can sometimes be difficult for even human drivers to handle, and some people find it improbable that self-driving

Pre-trained models accelerating data annotation for AI

data annotation

Pre-trained models: how it speed up data annotation and when to use it effectively

Are you someone who is looking for ways to fasten up your data annotation procedure? As computer vision technologies continue to quickly proliferate throughout industries, the demand for annotated data only increases. To implement computer vision with the help of machine learning in any project, freshly annotated training data is

Data annotation: key to creating high-quality training data

data annotation

Data annotation: key to creating high-quality training data

The algorithm-driven world is driven by data annotation. If you want to create an effective AI model, then creating high-quality trained data is important. Few characteristics must be possessed by AI-trained data otherwise it becomes difficult to obtain high-quality trained data. We are going to take a look at such

How to manage the quality of training data while doing data labeling

data annotation

How to manage the quality of training data while doing data labeling

Are you someone who deals with training data for their AI and Machine learning project? If yes, then you must be aware of the fact that quality data plays an important role. The caliber of the training datasets affects how well a machine-learning model performs. In machine learning, the consistency

Efficient Data Labeling for Machine Learning

data annotation

Data labeling: why it is important to manage it efficiently

In today’s technically advanced world, Computer Vision has enabled a lot of ways to automate processes. With different machine learning models, understanding and classifying data has become an easy task. What human efficiency is incapable of, computer vision can do it very easily. It might take months to label

How to choose the perfect tool for data annotation

data annotation

How To Choose The Perfect Tool For Data Annotation

After gathering a sizable amount of raw data, you want to feed that data into artificial intelligence (AI) technologies so they can do tasks similar to those performed by humans. The problem is that you can only program these devices to function according to the settings you specify for a