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.

machine learning

Detailed Architecture of YOLOv10

YOLOv10, the latest in real-time object detection, represents a major advancement in convolutional neural networks. It was released in May 2024 and has redefined the computer vision landscape. This deep learning model addresses long-standing object detection challenges, offering unparalleled speed and accuracy. At its core, YOLOv10 employs a groundbreaking NMS-free

computer vision

The Importance of Data Annotation in Machine Learning

Data annotation is the cornerstone of AI and ML model development. It involves labeling raw data to create precise training datasets. This essential step imbues algorithms with the ability to discern patterns and predict outcomes. The global data annotation market is experiencing exponential growth, expected to hit $6,450.0

machine learning

History of YOLO: From YOLOv1 to YOLOv10

The YOLO (You Only Look Once) family has transformed computer vision since its debut in 2016. Joseph Redmon and his team introduced this groundbreaking framework, altering the real-time processing landscape in artificial intelligence. YOLO's inception started with YOLOv1, employing convolutional neural networks for swift object detection in images.

computer vision

What is Label Studio?

Label Studio is a robust data labeling tool aimed at simplifying the preparation of training data for AI models. It supports a broad spectrum of data types, making it crucial for machine learning experts and data scientists. This open-source platform provides flexibility and customization to meet diverse labeling needs. It&

computer vision

What is YOLOv10?

YOLOv10 represents a significant leap in real-time object detection, unveiled in May 2024. This model extends the frontiers of computer vision and deep learning. It addresses critical issues like computational inefficiencies and the over-reliance on non-maximum suppression (NMS). The model's groundbreaking feature is its consistent dual assignments for

computer vision

Roboflow vs. The Competition: A Comparison of Leading Computer Vision Development Platforms

Roboflow's Universe houses a massive 90,000 public datasets and 60 million images. This vast collection distinguishes Roboflow in the fast-paced computer vision development field. As businesses and researchers look for strong AI model integration and diverse machine learning tools, it's crucial to understand the subtle

sematnic segmentation

Building a Community: Resources and Tips for Segment Anything Users

Segment Anything Model (SAM) is a zero-shot image segmentation model. It can predict multiple masks for a single prompt, segmenting ambiguous entities with ease. This feature is a game-changer for those aiming to build a robust Segment Anything community. Much like MetLife's success in reimagining customer segmentation, advanced