How the Data Annotation Service Empowers Drones(Unmanned Aerial Vehicles) in 2021 — Part2
In the previous article, we talk about what is UAV and its general application fields, in this article, we extend the UAV’s role in detail.
Main Applications
(1) Vehicle Identification and Tracking
As a UAV is equipped with an intelligent monitoring camera, based on background deep learning, people and vehicles on the road can be effectively identified and analyzed. Because of its high-speed and unrestricted 3D space, the characters and vehicles can be identified, monitored, and tracked.
(2) Air to Ground Detection
UAVs can effectively shoot and draw 3D maps by combining high-speed motion cameras and radar, so as to provide 3D stereographs and 2D plans. UAV, as an air platform, can complete various tasks by effectively matching relevant equipment. In addition, artificial intelligence can make more possibilities.
(3) Replace Manual Work at Height
In high-altitude operations, if the inspection is carried out by a human workforce, not only it is a waste of time, also it is very dangerous. In order to avoid this danger, the camera that the UAV carries can take pictures of target objects and compare them with the background data, so as to detect whether there are cracks and other hidden dangers on the surface.
(4) Smart Agriculture, Forestry and Plant Protection
Whether it is to improve the efficiency of pesticide spraying, to monitor the prevention and control of crop diseases, pests, weeds, to track comprehensive plant pollination, or to recognize the plant's growth, scalable data is needed. Thanks to the UAV collection service, we can obtain high-quality agricultural products and high-quality fruit forests.
Data is the Key
At present, AI enterprises have to go through three stages: research and development, training, and implementation. Each stage requires the support of massive labeled data.
In machine learning, with each round of testing, engineers would discover new possibilities to perfect the model performance, therefore, the workflow changes constantly. There are uncertainty and variability in data labeling. The clients need workers who can respond quickly and make changes in workflow, based on the model testing and validation phase.
In the current practice of artificial intelligence applications, different level of data quality demonstrates the value of artificial intelligence solutions with a very obvious gap.
High-quality data will maximize the efficiency of artificial intelligence, while low-quality AI data will be not only impossible to improve efficiency, but also will hinder the evolution of artificial intelligence to a certain extent.
Data Labeling Types in UAV Industry
- Object Tracking in Video
- HD Mapping，inspection and global monitoring
- Object Detection
- Defection Detection
- Object Localization
Data Labeling Tools
Semantic Segmentation, Instance Segmentation, Image Classification, Object Tracking, Key Point
End
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Relevant Articles:
1 How the Data Labeling Service Empowers Drones(Unmanned Aerial Vehicles) in 2021? — Part1
2 Labeling Service Case Study — Video Annotation — Vehicle License Plate Recognition
3 Data Annotation Service and Its Key Advantage — Flexibility
4 Eight Common Data Annotation and Labeling Tools
5 What is Semantic Segmentation, Instance Segmentation, Panoramic segmentation?
Source: zhihu
