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May 4, 2022

Top 4 labeling solutions to outsource all your images annotation projects

May 4, 2022

In every industry, AI-powered products will deliver the results you want only if you train them properly. This is exactly where image labeling comes in. 

How do you outsource your data annotation projects?

The manual labeling of data is a costly and labor-intensive process but it is the best way to create High Quality Training Data. It's best to find a firm that provides human expertise on their workforce and the ability to scale. This will help optimize for costs and time. 

3 Reasons to Outsource Your Data/Image Annotation Projects

Better quality of work

Outsourcing gives you access to skilled expertise and increase production leading to more flexibility. Working with professional data annotators will guarantee that you get the highest quality of work. This makes a lot of difference because there are usually so many sensitive factors involved.


After creating an AI model, you may not be able to predict when you will need more data  or when you have to stop training data preparation for a while. Scalability is how you make sure that your AI development process runs smoothly and most times, this can only be achieved with professional data annotators who can respond to dynamic demands and consistently deliver the data you require.

Removes internal biais

Training datasets are one of the first places where bias can creep and this could be bad for your company's reputation. This is why you need a pair of fresh eyes from external sources to constantly monitor sensitive topics and identify and eliminate biases in the system where they exist.

How to choose the right data labeling partner

  1. Identify your needs: First of all you need to know exactly what it is you plan to achieve with your project. This will help you outline your exact data labeling needs which you can use as a guideline when searching for the right vendor. Always be clear when outlining your objectives. 
  1. Do your research and choose your vendor: Always do your research! This is a step that cannot be overlooked. Before going with or hiring a vendor, endeavor to look at previous projects they have handled and companies they have worked with to see if they will be a good fit for you. Always make sure that they have the capacity to deliver at the levels you require before initiating a deal. 
  1. Monitor and manage for success: Create a plan or an outline in accordance with your goals or expectations for the project that will help you assess if the right objectives are being met consistently. This will help you hit deadlines and will also create a way for you to check if quality standards are being met. 

 Top data annotation firms


First on the list is Isahit which is a world class data labeling and annotation platform and a one stop shop for all your data labeling needs. Their mission is to bridge the gap between human and artificial intelligence through digital task outsourcing and they are doing just that with their team of proficient data annotators. With a 97% recommendation rate we can say that Isahit is one of the best companies in the industry. By keeping a "Human in the loop" approach, they have been able to build a solid AI training platform. Isahit also has a real social mission with these annotators and is the first European artificial intelligence company certified B Corp. 


Appen is a company that provides data management for different stages of the AI lifecycle. They offer a range of data annotation jobs that are mostly related to AI training tasks or evaluation of services provided by search engines and social media platforms. 

Cogito Tech LLC:

Cogito aims to provide training data for machine learning and AI based applications that require high quality data sets with accuracy. They have a strong presence in the USA and a delivery centre in India and they collaborate with clients to build high quality data sets that are used in various innovative business applications.


Labelbox is a training data platform that is positioned to help you improve your training data mutation loop. It is designed around the ability to annotate data, diagnose model performance, and prioritize actions based on your results. 

Outsourcing your data annotation project could help you increase your internal productivity, give you a much faster time to market your product, and also give you more time to test your results and optimize your algorithms.

Hiring a reputable firm like Isahit with dedicated employees for data collection, labeling and quality assurance will also guarantee you getting the best quality of work.

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