Showing posts with label data labeling and annotation. Show all posts
Showing posts with label data labeling and annotation. Show all posts

Saturday, August 8, 2020

Why do we annotate images?

 For a computer to understand images, the training data needs to be labeled and presented in a language that the computer would eventually learn and implement by itself thus becoming artificially intelligent.The labeling methods used to generate usable training data are called Annotation techniques, or for Computer Vision, Image Annotation. The best image annotation service is provided by the Bridged Internet Inc. As reliable players for artificial intelligence and machine learning training data, they offer a range of image annotation services such as :

  1. 2D/3D Bounding Boxes
  2. Point Annotation
  3. Line Annotation
  4. Polygonal Annotation
  5. Semantic Segmentation
  6. Video Annotation





Tuesday, July 28, 2020

Why is data labeling for machine learning so important?

Data labeling is very important as it is the base for any machine learning project. These labeled data act as data set which are fed in algorithms to train various machine learning models.

Machine learning models usually needs lots of data labeling for each projects which is called training data and these labeled data should be of very high and very precise quality for a Machine Learning models to work accurately in real world scenario.

These Labeled data help AI recognize various objects, shapes and patterns. for example how tree looks like, how a mango looks like.


To help the AI and ML companies in generating various data PBS data labeling services act as a data labeling partner, offering various types of data labeling and image annotation services.


PBS data labeling Services

http://www.pbsdatalabelingservices.co

info@pbsdatalabelingservices.co

What's hard about data labeling?

Hard part in data labeling is the quality of data required. You need very good experience in various annotation tools to deliver the pixel perfect labeling.

And second part is the volume. Most of the data labeling requires quick data labeling in large scale or large volume.

and third difficult part is that most of the AI and ML companies want there data labeling done in intervals or you may say some time they have big volumes of data and some time they have nothing.



To overcome all the data labeling challenge it is always better to outsource it to a data labeling company like, PBS data labeling services - One of the global leader in data labeling and annotation services.

http://www.pbsdatalabelingservices.co

info@pbsdatalabelingservices.co

What is machine learning?

Machine learning is the way Computer and Software are trained using data which makes Computer Vision model smarter and intelligent.

Machines are much faster at processing and storing knowledge compared to humans. But how can one leverage their speed to create intelligent machines? The answer to this question – make them feed on relevant data. This is also referred to as Training data.

Machine learning models are not too different from a human child. When a child observes a new object, say for example a dog and receives constant feedback from its environment, the child is able to learn this new piece of knowledge.

Machine learning technology centered on deep learning has attracted attention. Machine Learning companies have inculcated deep learning processes that requires the algorithm to identify and learn from the images fed as raw data.




PBS data labeling services - A data labeling company is helping various Machine Learning companies with labeled data

http://www.pbsdatalabelingservices.co

info@pbsdatalabelingservices.co

How does machine learning work?

Machine learning works by Building ‘smart algorithms’ and present the computer with ‘enough’ real-world examples of the environment (training data), so that when the computer sees ‘similar data’, it knows what to do.
In order to stay at the top, machine learning models need to be trained on representative datasets that include all the needed all possible circumstances and possibilities
Some examples:
  • Traffic cameras that automatically detect lane violations.
  • Fitness applications that automatically log your calorie count from pictures of the food you eat. You don’t have to input the amount and type of food anymore.
  • Security cameras that annotate the root cause of motion sensor triggers (e.g. whether it was an animal, human, falling leaves, a car driving by, etc.) and react accordingly. It also helps decrease the frequency of false alarms.
For these Computer Vision models to work in real world with best accuracy, curated (labeled) data sets are used by ML experts to train algorithms by adjusting parameters, in order to make accurate predictions for incoming data.




Monday, July 27, 2020

What is the pricing for data labeling and annotations?

Every company has its own way of pricing. Most companies in data labeling and annotation services offer two types of pricing :
  1. Hourly Rate
  2. Per task rate (per/bounding box, per/polygon, per/image etc)
Pricing are higher in US, Europe and Middle East as compared to Asia.
If you outsource to companies in Asia you definitely get some cost benefits.
You can get in touch with us - PBS data labeling services A low cost data labeling company based in India.
PBS Data labeling services

Why do we annotate images?

  For a computer to understand images, the training data needs to be labeled and presented in a language that the computer would eventually ...