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

Accuracy and Precision Improvements in YOLOv10

YOLOv10, the latest iteration in the YOLO (You Only Look Once) family, pushes the boundaries of object detection. It offers six size options ranging from N to X. This caters to diverse computational needs without compromising on accuracy. The groundbreaking NMS-free training approach introduces models that require up to 57%

Data annotation

Exporting Annotations from Label Studio

Exporting annotations from Label Studio is a pivotal step in the data annotation process. As you work through your machine learning data pipelines, knowing how to export your annotated data effectively is crucial. Label Studio provides powerful annotation export tools that simplify this process, ensuring your labeled datasets are prepared

Data annotation

Advanced Use Cases of YOLOv10

The architecture of YOLOv10 is meticulously designed to balance precision with computational efficiency. It incorporates innovative features like large-kernel convolutions and partial self-attention modules. These elements boost its performance without compromising on efficiency. This makes YOLOv10 a top choice for AI-powered surveillance and real-time tracking. YOLOv10's versatility is

computer vision

Collaboration Features in Label Studio

Label Studio stands out as a leading platform for team collaboration in data annotation projects. It simplifies your machine learning workflows with its advanced Collaboration Label Studio features. The tool supports a wide range of data types and offers templates for rapid project setup. This makes it perfect for teams

computer vision

Real-Time Object Detection with YOLOv10

YOLOv10 represents a groundbreaking advancement in computer vision technology. It significantly enhances real-time object detection capabilities. By leveraging advanced neural networks and deep learning, YOLOv10 achieves unmatched speed and precision. Accessible on GitHub, YOLOv10 garnered 8.8k stars and 780 forks at the time of writing. It's licensed

computer vision

Automation and Scripting in Label Studio

In the realm of machine learning, data preparation is paramount. Label Studio brings forth automation features to simplify your machine learning data labeling endeavors. This open-source tool accommodates a variety of data formats, from text to video, and harmonizes effortlessly with ML projects. Label Studio's automation boosts efficiency

Data annotation

Applications of YOLOv10 in Object Detection

YOLOv10 introduces several groundbreaking features. Its NMS-free training strategy and consistent dual assignments streamline the inference process. These innovations lead to a reduction in latency, facilitating quicker real-time object detection. The model incorporates large-kernel convolutions and partial self-attention modules, boosting performance while keeping computational demands manageable. YOLOv10's advancements