Transformation Brought by Data Annotation Tools in Various Industries

Author : kumar shrey | Published On : 24 Apr 2024

Data annotation tools streamline the workflow and improve the efficiency of operations in various industries. These enhance the operations of AI and ML datasets by making the operations more precise and correct. It has made remote operations in various industries possible, which earlier people didn’t think would even be possible.

Technological advancements in AI, increasing investments by governments into AI research & development, and increasing focus on automation in the healthcare sector have increased the adoption of data annotation tools in various industries. A recent report by Astute Analytica predicts that the global data annotation tools market is projected to grow at a CAGR of 31.1% from 2023 to 2031.

Major Transformations Bought by Digital Annotation Tools

Automotive

1. With data annotation tools, it is possible to create self-driving cars. Vehicles based on data annotation tools can recognize other vehicles around them and make timely judgments to navigate them. To achieve this, the 3D cuboid image annotation technique is used. This is very useful during night driving and high traffic. Also, these vehicles have high speed and accuracy.
2. Data annotation tools help self-driving cars detect street signs. It also adds the functionalities of facial expressions and behavior monitoring to these cars. These help alert drivers when they are distracted or sleepy while driving.
3. Polygon image automation helps self-driving cars optimally track their visual sensory data, inculcating comprehensive knowledge of their surroundings.

Agritech

1. With data and image annotation, farmers can now protect their crops from any unexpected damage with context-driven data labeling. Through image annotation, they can determine whether a particular soil is suitable for a specific crop or not.
2. Earlier, it was not possible to count crops and animals, but now, with the help of bounding box image annotation, farmers can count crops and animals through drones easily and within a fraction of the time.
3. Now farmers can identify fungus-causing infections and insects accurately through image annotation. When infections and pests are detected early, it can help ensure timely treatment, reduce potential damage, and save costs.
4. It is now possible to evaluate the quality and health of the soil and further determine its usage with semantic segmentation. This benefits the agriculture industry greatly.
5. Agricultural companies can now identify and differentiate weeds and other factors that obstruct the plant’s growth using advanced detection systems for semantic segmentation and image annotation. It also helps to restrict the intrusion of such plants into the actual crop.

Healthcare

1. The need to remotely operate patients has risen in the healthcare industry during the pandemic time. Now, with the help of data annotation tools, it is possible to remotely operate patient management, detect illnesses, and determine the ideal treatment for patients. Image annotation helps assist in quick diagnosis, better treatment, and improved medical accuracy. It also helps to resize images to match the requisite datasets.
2. Image segmentation annotation can help predict and diagnose cancer symptoms. Pre-set models label cancer image data to accurately examine cancerous cells. This eliminates the probability of human errors in cancer detection.