Image Classification Services

Supervised learning for your AI solutions depends on quality training data. To successfully classify image data, you need a Crowd to provide accurate annotations with a fast turnaround.

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What is Image Classification?

Image classification is the process a computer or machine goes through from analysis of an image to identifying the class it belongs to. These classifiers can be pre-determined and applied to large datasets manually. At the end, supervised learning is replaced by a model that can automatically determine the probability that an image falls under a certain class. For example, you start with 10,000 images containing various animals. You label them all according to the animal in the image. At the end, you feed an image to your computer, it analyzes the image and tells you there is a 93.5% chance the image contains a dog.

Why MarsCrowd?

A Crowd of

Trained Specialists

A Crowd of

Languages

A Crowd of

In-House Linguists

Image Classification in Action

When we work together on a project, you can expect a seamless process for delivery. Image classification can be broken down into 5 general steps from the collection of image data to the continual improvement of the model while repeating the process. The overall goal is to accurately and automatically segment image files for improved Computer Vision. The process looks something like the model below:

Tokenization

Training of

classification model

Text Data Collection for Machine Learning Process

Text data collection

Design of

feature extractors

Performance evaluation & visualization

How Does Image Classification Work?

With the utilization of deep learning, tasks like image classification can eventually be done by machines. Machines over the course of time can extract certain features from the images that it is fed, but in order for this to happen a foundation needs to be laid. For example, you may need to input a large, diverse amount of data of the same object. The machine will then look for commonalities in the pictures. Or you can have a team label all of the images.
In either case, the quality of data is a building block for a sophisticated AI model. With the help of a global Crowd, not only can you get the image datasets you need, but they can also be labeled to your requirements. Work with MarsCrowd and get your project off the ground.

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