Infoscribe.ai Blog

Data Annotation Services : Segmentation for Computer Vision

By: Mathieu G.
2023-07-25
Data Annotation Services : Segmentation for Computer Vision

Segmentation involves dividing images into distinct regions based on shared characteristics. Unlike image classification that classifies the entire image into predefined categories, segmentation provides pixel-level annotations, outlining the boundaries of each object within an image. This fine-grained approach is vital for applications requiring detailed object recognition and scene understanding.

Historical Origins:

The origins of image segmentation can be traced back to the late 1970s and early 1980s. Researchers at Stanford University and the University of Illinois pioneered early techniques like edge detection and region-based segmentation algorithms.

Advantages:

Segmentation offers several advantages, including precise object localization, better understanding of complex scenes, and improved accuracy in object detection tasks. By providing detailed annotations, AI models can distinguish between overlapping objects and grasp fine-grained visual features.

Disadvantages and Challenges:

Segmentation can be computationally demanding, requiring substantial processing power and memory resources. The creation of pixel-level labeled datasets can also be time-consuming and labor-intensive, making it a resource-intensive task.

Industries Embracing Segmentation:

Various industries have embraced segmentation to advance their applications. In the medical field, segmentation is used for tumor detection in MRI scans and analyzing anatomical structures. The automotive industry uses segmentation for autonomous driving, accurately identifying road boundaries and other vehicles. E-commerce giants leverage segmentation to enable interactive product search and augmented reality shopping experiences.

Real-World Applications:

Prominent real-world applications of segmentation include Google's autonomous vehicles, which utilize segmentation to understand the driving environment better. In the field of robotics, segmentation is employed for object manipulation and scene understanding. Additionally, in the gaming industry, segmentation facilitates realistic rendering of virtual environments and characters.

Segmentation is a powerful image annotation service that fuels advanced computer vision applications across multiple industries. While it poses challenges, its contributions to precise object localization and scene understanding are invaluable.

Unlock the potential of segmentation with InfoScribe's comprehensive image annotation services: https://infoscribe.ai/en/

Hours

Monday - Saturday: 08:00 AM - 9:00 PM

Location

15 Av. Guy Môquet, 94340 Joinville-le-Pont,
France

Production units

Ankerana
Antananarivo,Madagascar

Back To Blog List
×
Delivering accurate and consistent image annotation services

At Infoscribe, we understand that annotating images requires a great deal of time and utmost precision. Our primary goal is to ensure the highest level of quality to achieve 100% customer satisfaction.

To achieve this goal, we have implemented a rigorous training program for our annotators. Before being assigned to a project, each annotator is trained on best practices and is given test data to ensure a thorough understanding of the project and all possible scenarios. This allows us to deliver accurate and consistent results to our clients.

×
Ensuring strict quality control: our process at infoscribe

At Infoscribe, we prioritize quality control to ensure accurate and consistent results for our clients. Here's how we do it:

1
Quality control
Before launching a project, we conduct a 100% quality control to analyze and address any frequent errors caused by misinterpretations or misunderstandings of instructions.
2
QC Reports
Our QC team creates a report for each quality control performed, listing and illustrating non-conformities detected with screenshots.
3
Corrections
Project managers use these QC reports to explain errors to annotators so they can make corrections.
4
Improvement
We also use whiteboards to communicate common errors and encourage continuous improvement of our quality.
5
Sampling inspection
Once the compliance rate is high and stable after a few weeks, we perform sampling inspection based on the ISO2859 standard (2000 version).
×
Project management



Our project managers, who are in direct contact with our customers, comply with a detailed checklist designed to prevent mistakes and they report on a daily or weekly basis depending on the needs our customers expressed at the beginning of a project.