Image and video annotation: Five crucial points for businesses
A survey conducted by the London Stock Exchange Group (LSEG) with 482 data scientists, C-level executives, quantitative analysts, and model governance professionals revealed that 51% of the organisations in the Asia-Pacific region are adopting AI-/ML-based models. This number is up from 37% in 2020, with businesses in the Asia-Pacific region fast catching up with the businesses in the US. Image and video annotation is essential for any successful AI/ML model with a growing appetite for data.
What is image and video annotation?
Like an infant, machines need to be taught to recognise objects and associate with them. Image and video annotation helps AI/ML systems detect and learn about the objects in an image.* This is a manual task for human annotators who highlight and label relevant parts of the image and apply this information to a dataset from which the machine can learn. However, not all AI/ML models require the same level of detail.
Some of the important image and video annotation techniques are:
- Bounding boxes
- Polygon annotation
- Skeletal annotation
- Key points annotation
- Lane annotation
Five crucial points for businesses
Image annotation and labelling can help businesses perform specific tasks to improve security, product discoverability, tracking, and sales. The following implementations of image and video annotation are crucial points that businesses can use and benefit from:
- Detect objects easily:
- Track the object:
- Localise the object:
- Identify a person:
- Find the right product:
Detect and isolate objects of interest frame by frame. Then, algorithms can track objects and label them based on how we train them to identify the objects. For example, if you give a child a pencil and call it a stick, the child will learn to identify it as stick for the rest of its life.<
Observe and log specific data and use it for training. For example, a track and field training institute can observe the movement of a gifted athlete in that game and use this data for teaching.
Localise the objects in a picture and focus on the important parts that are recognisable and are unique to the object. Once the machine detects it for the first time, it will do so automatically the next time.
This feature is useful for security at large events or in search for missing people. For example, CCTV systems can automatically detect specific shapes and humans in a large crowd and raise alarms if anything seems threatening.
Customers can easily find the right product by using the image of that object and scanning the internet for relevant listings.
Business benefits from image and video annotation
Based on the specific needs of each industry, the training of the ML models can be customised to perform best for their needs with the help of image labelling. The following industries can effectively leverage the benefits of video and image annotation:
- Autonomous driving:
- Emotion detection:
- Supply chain:
Use bounding box labelling technique to identify in-store objects such as shirts, people, FMCG products, etc. By labelling these products, the AI/ML system can track the movement, quantities, price, colour, design, and other parameters.
Polygon technique can be used to annotate human organs. This can help identify deformities and any diseases at an early stage and at a lower cost.
Car manufacturers use image annotation to segment objects on the road and feed this data into self-driving cars. The vehicles can then sense obstacles on the way and steer efficiently.
Facial expression and emotion recognition can help in sentiment analysis for product reviews, email feedbacks, and customer calls.
Image annotation can label lanes in a warehouse to identify storage spaces based on the product and its delivery location. This directs robots to optimise their path and automate the supply chain.
How Infosys BPM can help
Infosys BPM is actively helping organisations improve operational efficiency and augment human capability by building and labelling high-quality training data. The services include:
- Ready-to-deploy annotation experts
- Robust QA framework for more than 98% accuracy
- Higher speed using AI-assisted annotation tools
- Platform-agnostic models (proprietary and third party)
- Flexible and scalable managed services
View our range of annotation services for AI/ML.
*For organisations on the digital transformation journey, agility is key in responding to a rapidly changing technology and business landscape. Now more than ever, it is crucial to deliver and exceed organisational expectations with a robust digital mindset backed by innovation. Enabling businesses to sense, learn, respond, and evolve like a living organism, will be imperative for business excellence going forward. A comprehensive yet modular suite of services is doing exactly that. Equipping organisations with intuitive decision-making automatically at scale, actionable insights based on real-time solutions, anytime/anywhere experience, and in-depth data visibility across functions leading to hyper-productivity, Live Enterprise is building connected organisations that are innovating collaboratively for the future.