Data annotation & labeling blog.

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Data annotation

Data annotation

Data annotation is one of the important parts of machine learning, especially in AI example. To know more about this and get better knowledge on Data Annotation, we need to know ALL the basics! So, we will be putting up a blog on "Data Annotation" [AIN-103] with A - Z coverage which will help you in understanding different parts related to Annotation of data.

computer vision

Best Tools and Frameworks for YOLOv10

YOLOv10, the latest in the YOLO series, introduces significant advancements in object detection. This guide delves into the top tools and frameworks for leveraging YOLOv10 in deep learning projects. We'll explore essential resources, from PyTorch to TensorFlow, to aid in harnessing this advanced technology. YOLOv10 brings forth key

machine learning

Navigating the Annotation Interface in Label Studio

Label Studio's annotation interface is a great tool for data labeling in machine learning projects. It's an open-source platform that provides a user-friendly environment for annotating different data types. Whether you're labeling data alone or as part of a team, Label Studio offers features

Data annotation

Step-by-Step Guide to Training YOLOv10

Welcome to the forefront with our YOLOv10 Guide, a pivotal advancement in object detection. Released on May 23, 2024, YOLOv10 elevates the standards of computer vision and deep learning. Its development by Tsinghua University's researchers showcases enhanced performance alongside reduced computational needs. YOLOv10 presents six variants, each designed

computer vision

Annotation Types Supported by Label Studio

Label Studio stands out as a robust, open-source data annotation tool. Label Studio Annotation Types run a broad spectrum. The platform offers both Community Edition and Enterprise versions. These cater to projects of varying scales and needs. Its web interface and customizable templates streamline data annotation for teams of any

computer vision

Datasets for Training YOLOv10

YOLOv10, the latest in the YOLO family, marks a leap forward in object detection. It was unveiled on May 23, 2024, by researchers at Tsinghua University. This neural network significantly advances real-time object detection capabilities. This model showcases notable improvements in speed and efficiency. YOLOv10-S surpasses its predecessors, offering 1.

computer vision

Initial Configuration of Label Studio

Upon launching Label Studio for the first time, it employs an SQLite database for storing labeling tasks and annotations. This default setup is suitable for smaller projects. However, for larger projects, switching to PostgreSQL can enhance performance and scalability. The command line provides numerous arguments to personalize your Label Studio

computer vision

Core Algorithms and Techniques in YOLOv10

YOLOv10 represents a major advancement in real-time object detection. It builds upon the success of its predecessors, introducing new techniques that significantly enhance its performance across various applications. This latest version of the YOLO family showcases the power of deep learning and efficiency. The architecture of YOLOv10 includes NMS-free training