Polyline Annotation Services

Enable AI Successful for Self-driving Cars in Drivable Areas

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15+

Years of Experience

1500+

Annotators Working 24x7

100%

Data Security

99%

Accuracy Achieved

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Key Features of Polyline Annotation Services for Computer Vision

We use this technique for identifying and localizing videos and images by drawing precise contours in polygon shapes over the products.

Object Detection for Self-driving Vehicles

Object Detection for Self-driving Vehicles

We offer accurate polyline image annotation services for lane detection for autonomous vehicles. Our services help in identifying bicycle, directions, divergence, and opposite direction traffic in perceiving the surroundings for safe and trouble-free driving using successful AI-models.

Accurate Lane Detection on Varied Roads

We help in detecting various types of lanes which include city streets or highways for autonomous vehicles. By obtaining raw data of these streets, our annotators recognize the lane marking by annotating lines on the object of interest to enable your autonomous vehicle to recognize such lanes on the road.

Accurate Lane Detection on Varied Roads
High-Precision Lane Detection

High-Precision Lane Detection

We develop a sharp model for detecting the lane on roads with edge-to-edge marking using polyline image annotation tools. Our team of dedicated annotators draw the lines and annotate large volumes of images for making the datasets usable so that machine learning models work flawlessly.

Use Cases for Polyline Annotation

Road markings

Road markings

Drivers must ensure their own safety and others by paying heed to road signs and symbols. For self-driving vehicles, it helps in making them cognizant of the basic but most important road safety rules for preventing collisions. A know-how of road markings and symbols will help in preventing crash and ensuring a smooth ride.

Detecting lanes

Detecting lanes

Akin to road markings, self-driving vehicles must be capable of identifying lanes in the road like while the two lines in the center of the road divide traffic, the dotted white lines indicate a one-way. As car manufacturers become familiar with AI, drivers can derive benefits of technology that helps them in staying in their lane without drifting. Polyline annotation make it easy to detect the lane making it easy and most effective.

Detecting objects

Detecting objects

As seasoned drivers, one is used to several obstacles on the road. However, autonomous vehicles must be taught to identify these hurdles to prevent accidents. Polyline annotation allows for a manner of labeling that displays these road signs without going into its details.

Robotics

Robotics

Robots are used in warehouses for lifting and moving objects from one point to another. They are used basically for restocking items as they are efficient, save company’s time, as well as money. So, polyline image annotation are a good fit here as it creates a target zone between the two lines for placing the objects.

Agriculture

Agriculture

It is used in crop farming to automate agricultural processes which include crop monitoring, irrigation, checking for insects for pest control leading to high crop yield.

Frequently Asked Questions

Polyline image annotation involves using linear structures in images and videos. It makes use of small lines which are linked at vertices for tracing the shape of structures including roads, rail tracks, and pipelines. This annotation technique is used by annotators for applying lines to images through annotation platforms and labeling tools.

1. Complex visual representations: This is a key challenge in polyline annotation. In case of intricate or densely packed designs, it is a must to ensure that the annotations are clear and do not cause visual clutter.

2. Selecting the apt annotation style: This can be a challenge as it needs to take into account factors like the purpose, the context, and the target audience. It is very important to strike a right balance between information and visually pleasing annotations.

3. Staying consistent: To create a cohesive and professional look, there needs to be consistency in annotation styles spanning different visuals. But it can be a challenge to achieve consistency when one is functioning with multiple teams.

4. Precise Placement and Alignment: Annotations need to be aligned in a proper way along points or segments. This requires great care and attention to detail. Any placement error can result in misinterpreting the visual content.

Why should you outsource your polyline annotation work to Anolytics?

You can trust us in offering quality text annotation work because we offer:

Quality With Accuracy
Quality With Accuracy

Get the best-in-class quality services with highest accuracy level delivering an excellence in image annotation through multiple stages of auditing and reviewing of labeled data.

Security With Privacy
Security With Privacy

We are certified with SOC 2 TYPE 1 Company for maintaining the high standards of data security with privacy while working with our clients to ensure their confidentiality.

Fully Scalable Service
Fully Scalable Service

Working with hundreds of workforce to annotate pictures as per the demand providing a completely scalable solution with turnaround time to meet the different client’ needs.

Cost-effective Pricing
Cost-effective Pricing

Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with best efficiency.

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USA Office USA Office

16 Horseshoe Ln, Levittown, NY 11756, United States

India Office India Office

A-83, Sector-2, Noida, Uttar Pradesh 201301

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info@anolytics.ai

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+1 516-342-5749

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