What is Video annotation?
Video Annotation is a process by which the annotators label or annotate objects frame by frame to teach the AI how to recognize those objects in the new dataset. The data is annotated by making use of different shapes, drawings, or comments. This is very similar to image annotation but at the same time, far more complex than image annotation because, in an image dataset, there is less complexity, as there are fewer objects to annotate. But video is more complex because of the presence of multiple objects and subjects like humans, vehicles, objects, and more.
Also, in the video, the amount of data that has to be annotated is less. Whereas, in the video, the amount of data is large, as the annotator needs to label the video frame by frame.
Industries Relying On VIDEO ANNOTATION Services
There are some industries that rely on Video Annotation more than others. More and more industries are making use of video annotation because it helps in time-saving, and accurate results.
Here are some industries that make use of video annotation:
1. Automotive: The biggest use case in the automotive industry is self-driving cars. The self-driving cars need a huge amount of data in the form of video that can help the car detect people, signs, objects, zebra crossing, other cars, brakes, and more. Another use case in the automotive industry can be making AI find parking spots in the parking lot. The car will analyze the parking lot to find the best place to park the car. Another use case can be AI detecting potholes and bad road conditions.
2. Gaming: Video game companies use human activity tracking and pose estimation to create games that are highly realistic. This includes accurately annotating things like people's facial expressions and how they pose while performing different actions in games.
3. Medical: The major benefit of AI in the medical industry is to help doctors with the diagnosis and imaging of patients. Video annotation helps in analyzing mammograms, X-rays Dataset, CT scans, and more to monitor the patient’s progress.
4. Retail: A great example of video annotation in retail is Amazon Go. Customer enters the store and adds things to their cart. With the help of sensors and cameras, the cart will calculate the total price and customers can go without checkout, as the money will be deducted from their Amazon account. How cool is that? Another use case of video or Image Annotation is inventory management. The cameras will tell if any item is out of stock, or misplaced. Use case f AI is to detect the mood of a customer by looking at their face. If their mood is not good during the shopping, a sales representative can assist them.
5. Surveillance: Government agencies can use CCTV footage to detect traffic in a particular area, detect potential crimes through video annotation, and check the speed of cars. Similarly, companies can use video to mark the attendance of their employees.
6. Agriculture: Through video from drones, the AI can detect different types of crops, and analyze the grain quality, weed growth, herbicide usage, and more. Video can also help the farmer in livestock management.
7. Industrial: Video annotation is increasingly being used in the manufacturing industry to improve productivity and efficiency. Robots are being taught to navigate through stationary, inspect assembly lines, and track packages in logistics using annotated videos. Robots using annotated videos are assisting in the detection of defective items in production lines.
Why outsourcing Video Annotation services is preferable for business growth
It requires skilled professionals to edit information effectively to use it to produce desired outputs from machines. Before entering into the database, information needs to be properly organized and classified. The most frequent issues that companies face and that can be sorted out by outsourcing from third party are:
Training and knowledge
Managing human resources to annotate data is challenging because it takes time and money to educate experts in labeling and recruit experts who will oversee. Because the industry is fairly new, there need to be more skilled employees. A lot of companies employ companies to create data annotations due to this.
Technology and Infrastructure
Building a structure to allow for and maintenance of a budget. Every technology infrastructure needs money for development, maintenance, and improvements. Outsourcing Video and Image Annotation services are often considered for businesses that do offers essential technological services.
Time Saving
Another problem is that it can be difficult to add new components to a process after it has been operational, hence outsourcing services from trusted partners saves a lot of time to utilize it for further works.
GTS.AI is leading Video Annotation company
When it comes to Video Dataset and video annotation, we at Global Technical Solutions (GTS.AI) have the expertise, knowledge, resources, and capacity to provide you with everything you need. Our team Provides the highest quality datasets and are tailored to your specific needs and problems. We have members in our team who have the right knowledge, skills, expertise and qualifications to collect and deliver video data for any situation, technology, or application. Our multiple verification systems consistently ensure that we deliver the highest quality videos.
