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.

The quantity and quality of training data plays a very important role.

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What is the role of image annotators in machine learning?

Large Annotation data are Extensively used to train autonomous driving perception models for pedestrians, traffic signs, lane obstacles, etc. For ex: Bounding boxes can be used to annotate various fashion accessories and this is used to train visual search machine learning models.

Annotation is a tedious and time-consuming work, it needs highly experienced & professional work-space to create large volumes of annotated data like pictures or images that can be used to train machines and make them functional for AI-based models.

Collecting labelled data is the key to develop good ML solutions.

Image Annotators perform various annotation/labeling task for machine learning.

Some task includes:

Bounding box,

Cuboids

Polygons

Polylines

Landmarks

Semantic Segmentation.

Various Classifications.

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with PBS data labeling Services

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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

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What is data labeling?

In simple words Labeled data is a group of samples for example images, that have been tagged with one or more labels and the process to tag these data is called Data Labeling. Data labeling service lets machines learn what humans see, hear, or think.

Labeled or human labeled data or ground truth dataset is designed for to train specific ML models with an end application in perspective.

Labeled data is the data you need to train your models. You might just need to collect more of it to sharpen your model accuracy. As you build a great model you need great training data at scale.

How to get data labeled

We at PBS data labeling services could be a good partner in your journey just after all we annotated millions of images a day for some of the world’s most innovative companies. Whether it’s bounding boxes, dots, semantic segmentation or any sorts of shape, we can help you collect high-quality training data with high precision and recall value.

 

For More Information Contact us - http://pbsdatalabelingservices.co