“Data Labeler”, who is that??? Many have asked me this question when I say I work for a company that provides data labeling services and the majority of our workers are data labelers. Everyone knows what artificial intelligence is. But they do not know who or rather, what powers this technology.
An AI system should be error-free; there should be no room for mistakes. High quality training data can improve the accuracy of an AI system. Do you think where can we get such kind of data?
The field of Artificial Intelligence (AI) is booming day by day. “Data Labeling” or “Annotation” is the foundation of AI. In every AI project, an average of 80% of the time spent on data labeling. The quality and quantity of training data determine the success of an AI/ML project. If you take any AI project, you can see that the data issues are some of the sticking points the AI professionals are struggling with.
Do you know what is data labeling? who did these tasks? Who is the backbone of AI? What are they doing? Come, let us see!
What Is Data Labeling or Image Annotation?
What comes to your mind when you hear “Data Labeling”?
“There is something inherently misleading about images, so they need annotation.”
Ben Katchor
This quote by Ben Katchor really tells us the need for annotations. With AI on the rise, machines must have the capability of seeing and understanding in which annotation plays a great deal. Still wondering what we have been doing so far? What is image annotation?
For building AI models, we need massive amounts of training datas. Making labeled training data requires a great deal of time, effort, and investment. We can see unlabeled data all around us, such as business emails, photos, audios, videos related to your products, etc. Majority of algorithms used today need labeled data to learn. So processing of unlabeled or raw data is the most required element for training machine learning systems.
“Data labeling is a key phase that adds labels to data before using to train machine learning models. So choosing the correct approach while keeping important factors like quality and data security is critical.”
How Does it Works?
Do you think about how it works? For example, a system is trained to identify vehicles in an image. So we provided that with multiple images of different types of vehicles from which the system learns the common features of each vehicle and enables it to correctly identify the vehicles in unlabeled images.
Who Did Data Labeling?
When most people think about AI systems, they visualize system developers who whisper to AI/ML models using special powers. Nowadays, everyone seems to be building artificial intelligence systems. No one talks about one of the most inevitable aspects of the work: “Data Annotators” or “Data Labelers”!!! It is impossible to develop algorithms without their dedicated work.
It is essential to have the right expert handle annotations, depending on the complexity of the data you are annotating. While several companies use crowdsourcing for basic annotations, more complex data necessitates specialized knowledge to ensure accuracy. There are still a few projects that someone without proper training cannot do. This is usually the case in highly technical and specialized sectors. Healthcare is an excellent example to demonstrate this challenge of a data labeler’s job.
Multiple medical tasks require AI for automated activities as well as the facilitation of human work. Understanding X-rays and analyzing CT and MRI scans are among them. Spotting a tumour on an X-ray is the same as recognizing a cat in a photo. Both are simply a process of selecting pixels on an image. However, there is a difference in the labeling jobs that go into both of these tasks. Any human, even our toddlers can recognise a cat’s characteristics. However, identifying a tumour on an X-ray requires a very specific skill set.
Meet Our Data Labelers, Who Keeps Infolks Alive
It is important to pick the right team when starting up a firm. Infolks‘ success in fulfilling high quality, and accurate results is reliant on our young and talented annotation team. Having the most trustworthy and knowledgeable team in the industry is a relentless task. By investing in our annotation team, we can set the standard of what other companies are judged by.
Talent wins games, but championships are won through teamwork and intelligence. Our team is what makes us proud! They established the tone for our prosperous journey.
Worklife of Annotators @ Infolks
Here annotators account for 90% of the total workforce and are always scalable as per the client requirements. Our workforce consists of quick learners and dedicated team players. The team is led by Senior Executives, Sub co-ordinators, Co-ordinators, Managers, and Senior Managers. The annotation team especially has sound expertise in all kinds of 3D and 2D annotations using Bounding Box, Keypoint, Contour, Cuboidal, Polyline, and Segmentations. The team is very flexible in nature and is ready to work over odd hours for sound completion of the project. We are never constrained to any of our terms and conditions and are always available as per the client’s requirement.
Annotators are given the freedom to decide how they do their best work and then do it that way. They are pushed to explore and work at the top of their skill sets. So, those who beat expectations are recognized, even in non-monetary ways. This is proven by their “Best Quality Performer Award” in each and every month. They believe in quality rather than quantity. Quality is not an act. It is a habit concerning them. Quality is a very important aspect of everything they do.
Label More Using “LabelMore”
Infolk’s own multi-modality tool, LabelMore, is designed to meet a wide range of annotation needs. So by using our services, you will be able to receive any additional technical assistance that you require. Do you want to learn more about Labelmore? If yes, here it is!
The first and most important feature of LabelMore is its ownership and security. It is developed by our in-house technical team. This guarantees its security. When it comes to labeling objects, we use efficient methods. Different labeling techniques can be used by annotators to label different objects within the frame. This drastically reduces the time taken to label and thus simplifies annotation. The next interesting characteristic of LabelMore is that it allows for an unlimited number of labels per image/video frame. This feature improves the dataset’s accuracy when used to create a variety of computer vision scenarios. LabelMore can process training data in any format required by your project. It is a fully customizable tool and it can be changed or modified to meet the requirements of the project.
How Do We Ensure Data Security?
Firstly, we are ISO 27001:2013 certified and our environment is compatible with EU GDPR standards. All our services are done by hired in-house employees at our secure work spaces. Services are neither crowdsourced nor outsourced to third parties. We make our all employees sign a legally valid NDA, so as to ensure secure handling of Client’s data. To prevent any form of cyber threats and attacks we implemented high standard firewall systems on our networks.
Internal data transfer is also carried out through highly secured LAN networks. With a biometric office entry-exit system, we ensure that only authorized persons enter the office environments. We have set up a 24/7 recording surveillance system for constant monitoring over the workspace. Mobile phones or any other type of electronic and data storage devices are completely restricted in office premises. Data that we receive are downloaded and stored in highly secured computers to which only authorized personnel has access. Project data are received from clients through secured cloud storage. The shared data are then stored in a well protected master computer. These data are then passed to annotators using highly secured LAN networks.
No external devices like hard disks, pen drives, etc. are used for internal data transfer. The labeled data is then collected from employees using LAN networks and stored in the master computer. Labeled data are submitted back to clients using secured cloud storage. Moreover set of data security officials along with qualified lead are summoned to form a Data Security Wing for implementing accurate data security measures.
Quality Is Our Responsibility
Quality is one of the key attributes of services at Infolks. So this huge focus has made us what we are today. We have implemented an efficient Quality Management System (QMS) and is ISO 9001:2015 certified. Every project at Infolks is first handled by a proficient sample team. For any project client can decide the quality benchmarks.
We follow a 3 level quality check mechanism to ensure work quality without causing any delay to the project. Our salary and promotion systems are dependent on work quality and other performance traits. So employees try to produce the best quality output in order to get quick promotions and achieve better pay scales.
At Infolks, we celebrate the first day of every month as “Quality Day” to motivate and aware folks about the importance of quality. On this day, we honour our best performers from the preceding month.
We Will Help You!!
High-quality annotated data is the prime requirement for the AI/ML applications to operate smoothly. The demand to implement a secure and cheap method for image annotation is paramount now.
Your search for a data labeling expert ends here. With Infolks, you will get high quality data for training your smart and intelligent applications.
Feel free to contact us and outline your project requirements now! We’d like to hear from you and would be happy to help you.