The Ultimate Guide to Logo Data 2022

Learn about logo data analytics, sources, and collection.

What is Logo Data?

Logo data is a sub-category of artificial intelligence and machine learning (AI & ML) data. It usually comes in the form of an annotated image dataset of JPEG or PNG files displaying logos for various businesses.

What are the attributes of Logo Data?

The most important attributes in a logo dataset is the image file showing the logo itself! The other attributes include text fields which contain the company name, and sometimes also the logo name if there is one. For example, there could be an image of the Nike logo, a field with the business name ‘Nike’, and then another with the logo name: ‘Swoosh’. For more complex logos, there may be an additional description field explaining what the image depicts. In the case of Sunmaid’s logo, this description might be something like ‘woman holding fruit basket’. These description fields are also useful for machine learning because they help train computers to understand what’s going on in an image so they can tag it with image attributes more accurately.

Logo data providers often enrich their datasets with additional data fields, such as the industry the company belongs to. This textual information will also be represented as integers. The company name will correspond to a ticker number and the industry to a SAICS code.

What are the use cases for Logo Data?

Logo data is mostly used to train image recognition AI algorithms and machines. These machines become more accurate at recognizing logos and distinguishing one logo from another when they’re fed logo data.

Another use case for logo data which is related to AI & ML processes is synthetic data generation. To train algorithms, masses of data is needed. Sometimes it’s not cost or time effective to buy this data in bulk or collect it yourself. To overcome this, data scientists and programmers can uses synthetic data. Synthetic data is generated artificially, not collected manually from real world events. This means it’s way easier to product at scale. Proprietary logo datasets are used to produce this synthetic image data. The synthetic data is modelled on the original information.

What are the sources of Logo Data?

Most logo data providers collect their image data using web crawlers. Most websites add alt. attributes to their images to describe the visual. This helps human users with accessibility problems or visual impairments navigate the site better. Alt. attributes are also beneficial for SEO: they’re favored by search engines because they can crawl sites more quickly. On business websites, the logo will be labeled as such using alt. attributes. The data providers crawlers can then sift through the site’s content and only collect the logo.

We’ve already seen that logo data is used for synthetic data generation. However, synthetic data generation is also a source as well as a use case! Rather than deploying web crawlers, logo data providers can train their algorithms to produce a company’s logo when its ID or name is input.

How can I get Logo Data?

You can get Logo Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Logo Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Logo Data APIs, feeds and streams to download the most up-to-date intelligence.