Human-Powered Image Annotation Services for Machine Learning
Cogito offers image annotation outsourcing services for machine and deep learning, one of the best image labeling companies at the best pricing.
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In the age of AI, machines are getting trained to learn and perceive the environment just like humans to understand everything when exposed to similar things in real-life scenarios. And, for computer vision-based AI models, data with labels, or annotations can help the machines learn such things.
There are different things visible in their natural environment, and when we use machines to deal with various things, we must be aware of the specifications and other attributes of such things. So, right here we need to understand thoroughly more about image annotation, why it is used, and the popular techniques and other aspects that are associated with this process.
What Is the Meaning of Annotating the Images?
Image annotation is the task of annotating the objects of interest in the images with the right labeling techniques and tools. The annotation task can be performed manually, or with the combination of AI-assisted software to make the labeling process faster and more precise.
Image labeling helps to generate a huge amount of training data for machine learning algorithms. The accuracy of AI models very much depends on the quality and quantity of datasets used while training the model. This process makes the objects recognizable to machines with the scope of making such objects easily perceivable in a different kind of environment.
How Are Images Annotated?
Let’s take an example given below in which the bounding box annotation technique has been used to capture the objects we need to make recognizable to machines. In this case, pedestrians are annotated in blue, and taxis are marked in yellow shades.
And, this is repeated into the different images, as per the project’s requirement, or depending on the business use cases. Though, the quantity of labels in each image varies, as per the project requirements. Few projects need only annotation to represent the content of the whole image that helps in image classification. While, on the other hand, few projects could require multiple objects to be labeled within a single image, each with a different label such as bounding box annotation.
Types of Image Annotation
- Annotation for Object Classification
- Annotation for Object Detection
- Annotation for Image Segmentation
Published at DZone with permission of Roger Max. See the original article here.
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