What are the Most Impressive AI Products?
The Animoji feature in the text message, of course!
Simply put, it is through face recognition technology, using the image provided by the system to record their own exclusive dynamic expression.
This amazing feature helps us express things that we don’t know how to express through words. In addition to emoticons, people can record sounds to express their mood, and they can copy the recorded emoticons and send them to social media.
How do these dynamic expressions, which you can’t stop playing, come into being?
This is not possible without face recognition technology. Instead of relying on two-dimensional images, the iPhone X uses structured light — which adds depth information compared to normal technology. By projecting light onto the face and reading light information from the surface, the iPhone can determine the three-dimensional shape of the face.
Unlike previous models, iPhone X adds an infrared lens, floodlight, floodlight sensor, and dot matrix projector to the front camera, microphone, and distance sensor.
When we stare at our phone screen, it projects a lattice of more than 30,000 invisible points of light onto our faces. As the face is uneven, the lattice changes its shape. By reading the dot matrix pattern through the infrared lens, and then combining it with the algorithm trained with a large amount of facial expression data, the face with depth information, namely the real three-dimensional model of the face, can be obtained.
Thanks to the linkage of several devices, when we aim at the face recognition area of Animoji, the system generates a three-dimensional model of our face that changes as our expressions change. The various Animoji options are like “3d masks”. When we make various expressions, the corresponding 3D mask changes its shape to create the “I laugh and it laughs” Animoji expressions.
The Animoji experience may not be so smooth for those who have performed too much. Once the action deviates from the recognition area, such as a large head shake, the “three-dimensional mask” will freeze in confusion. Play a few more times can grasp the better.
If the range of action is too large, there will be the possibility to be out of the box
In addition to structured light, ordinary, image-based face recognition can perform similar functions.
For example, many people are familiar with the game Face Rig. All you need is a camera, so you can see the same expression, a different version of yourself.
Face recognition technology is widely used around us, and even many AI applications in other directions have entered our lives.
AI’s Reliance on High-quality Data
Bytebridge, a human-powered and ML-powered data labeling platform, providing high-quality services to collect and annotate different types of data such as text, image, audio, and video to accelerate the development of the machine learning industry.
Quality Guarantee
- ML-assisted capacity can help reduce human errors by automatically pre-labeling
- The real-time QA and QC are integrated into the labeling workflow as the consensus mechanism is introduced to ensure accuracy
- Consensus — Assign the same task to several workers, and the correct answer is the one that comes back from the majority output
- All work results are completely screened and inspected by machines and the human workforce
In this way, ByteBridge can affirm our data acceptance and accuracy rate is over 98%.
Flexibility— Configure Your Own 2D Images Labeling Project
- Clients can set labeling rules, iterate data features, attributes, and task flows, scale up or down, make changes.
For example, you can choose a Bounding Box and Classification Template on the dashboard:
- Clients can monitor the labeling progress and get the results in real-time on the dashboard.
These labeling tools are already available on the dashboard: Image Classification, 2D Boxing, Polygon, Cuboid.
We can provide personalized annotation tools and services according to customer requirements.
3D Point Cloud Annotation Service
ByteBridge self-developed 3D Point Cloud labeling, quality inspection tool, and pre-labeling functions can complete high-quality and high-precision 3D point cloud annotation for 2D-3D fusion or 3D images provided by different manufacturers and equipment, and provide one-station management service of labeling, QA, and QC.
More info: ByteBridge Launches World’s First Mobile 3D Point Cloud Data Labeling Service
3D Point Cloud Annotation Types:
- Sensor Fusion Cuboids: 49 categories include car, truck, heavy vehicle, two-wheeled vehicle, pedestrian, etc.
- Sensor Fusion Segmentation: obstacles classification, different types of lanes differentiation
- Sensor Fusion Cuboids Tracking
① Tracking the same object with the same ID, labeling the leaving state;
② Point clouds or time-aligned images could be provided, point clouds outputs only.
Advantages of Our 3D Point Cloud Annotation Service:
· Support 2D to 3D mapping, support multiple cameras
· Support scalable data annotation
· AI-assisted tool — Pre-labeling
· QA & QC Platform
Cost-effective
- A collaboration of the human-work force and AI algorithms ensure a 50% lower price compared to the conventional market.
End
We can provide personalized annotation tools and services according to customer requirements.
For more information, please have a look at bytebridge.io, the clear pricing is available.
Please feel free to contact us: support@bytebridge.io
Relevant Articles:
1 What are the Most Impressive AI Products?
2 Why the High-Quality Training Data is so Important to AI Machine Learning?
3 Data Labeling and Annotation Outsourcing Service
4 No Bias Training Data — the New Bottlenecks in Machine Learning
