Infoscribe.ai Blog

Data Annotation Services : 2D Bounding Box Annotation

By: Mathieu G.
2023-07-24
Data Annotation Services : 2D Bounding Box Annotation

Originating in the early 1970s, 2D BB annotation involves drawing rectangular boxes around objects within images, precisely defining their locations. This breakthrough allowed AI algorithms to recognize and differentiate objects, marking the beginning of computer vision's transformative journey.

Advantages:

  • Efficiency: 2D BB annotation is a cost-effective and time-efficient method for training computer vision models, making it ideal for large-scale datasets.
  • Flexibility: The technique can be applied to various object detection tasks, from identifying everyday objects to complex shapes, enabling versatile applications.

    • Inconvenients:

  • Lack of Depth Information: As 2D BBs only provide positional information, they do not account for depth, limiting their use in applications where 3D spatial understanding is essential.
  • Occlusion Challenges: When objects overlap or are partially hidden, the accuracy of 2D BB annotation may be compromised, affecting object detection performance.
  • Accuracy : 2D BBs are not always compatible with high-precision projects

    • Industries and Use Cases:

  • Autonomous Vehicles: Companies like Tesla and Waymo rely on 2D BB annotation to detect and track vehicles, pedestrians, and other objects on the road.
  • Surveillance and Security: Security firms employ this annotation technique for real-time object detection in CCTV footage, enhancing public safety.
  • Retail and E-commerce: Online retailers use 2D BB annotation to identify products in images, enabling advanced product search and recommendation systems.
  • Robotics: Companies like Boston Dynamics utilize 2D BB annotation to develop robots capable of navigating and interacting with their environment.

    • 2D BB annotation continues to be indispensable for diverse computer vision applications. As the technology advances, its limitations are being addressed, and it remains a crucial tool in training AI models for various industries and use cases.

    Discover the potential of 2D BB annotation and other cutting-edge computer vision services with InfoScribe: https://infoscribe.ai/en/

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    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.

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    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).
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    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.