In a world of artificial intelligence, machines are getting more than just computers, they are getting eyes. Whether it is determining what things are in a photo or finding tumors in medical scans computer vision is transforming the relationship between us and technology. But how do machines get to interpret the images in a human way?
The key is in a very important procedure known as image annotation.
Infosearch provides the best image annotation services for machine learning and AI.
What is Image Annotation?
Image annotation refers to labeling or tagging the images with metadata so that the same becomes understandable by the machine learning models. Such labels assist AI to understand objects, identify edges, categorize a scene, and even predict things through what he or she sees.
It is simply the way we train computers: It is a cat. It is a traffic sign. It is a tumor.
What is the Need of Annotated Image in Machines?
Machines unlike humans do not intrinsically know visual data. A computer simply sees a picture as a series of pixels, unless it is informed the meaning of the pixels.
Giving a machine thousand or even millions of labeled images make it:
- Learn patterns and characteristics (borders, figures, color)
- Differentiate objects (e.g. car vs bus)
- Predict based on visual information (e.g. a car passage)
The computer vision models do not see without being annotated.
Typical Annotation of Images
There are variances in different applications and corresponding types of annotation required. The following are some of the commonly used techniques that Infosearch provides.:
The boxes made rectangular and around an object to make them identify where an object is and how big they are.
Purpose: Object detection (e.g. cars, faces, animals)
Describes specific shapes of objects to be more precise.
Applications: irregular forms (e.g., buildings, road lanes, and medical organs)
Each of the pixels in any image is categorized.
Application: Self driving, understanding of scenes
Helps machines understand their surroundings so they can do things like find objects and navigate themselves.
Application: Industries autonomous vehicles, drones etc
Indicates certain landmarks on items (e.g., the eyes, joints, fingertips).
Applications: facial recognition, human pose estimation
Image Annotation use in practice
There is an extensive variety of AI applications facilitated by image annotation and Infosearch provides annotation services to these industries.
Identify lanes boundaries, traffic signs and pedestrians.
Determine the anomalies in the X-rays, MRIs, and CT scan.
Visual search, virtual try-on, tagging of products.
Scout health of crops, identify pests and weeds.
Identification of people by face, monitoring of crowds, identifying threats.
The Importance of Accuracy in Image Annotation
Due to incorrect annotations, there is:
- Misclassifications
- Low performance of the model
- Biased results
- Safety issues (particularly, in such critical areas as healthcare or self-driven vehicles)
This is why annotation needs to be accurate, which in many cases requires access to skilled human annotators together with good quality control systems.
Human-in-the-Loop:
Infosearch provides HITL annotation, as although automated actions and the help of AI in the labeling of items become more advanced, pure knowledge of the human mind is vital:
- Edge cases
- Subjective labeling
- Task-specific applications (e.g. medical or satellite images)
The optimal solution is a combination of a model: AI + human annotators.
Final Thoughts
It is not magic when teaching machines how to see but it is painstaking, quality image annotation. Each labeled image brings an AI model towards the area of human eyesight and recognition.
And then the next time you perform face unlock, driver assistance or flick through auto-tagged photos, keep in mind that behind all of that must have been that initial step of image annotation.
Outsource Image Annotation Services to Infosearch
Our AI product labeling service is perfect whether you are developing an AI product in the automotive, healthcare, or eCommerce industry, and you will get annotated images of pixel perfection that meet your requirements.
Please contact us to learn how we can help with your vision.
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