Optical Character Verification, or OCV, is a technology that verifies the accuracy and quality of printed text on manufactured items. Manufacturers and sellers check the accuracy of information on packages,
Camera calibration is important to accurate vision AI systems that analyse sports. It allows the mapping of their movement on a video frame to real movement on the field, and
Introduction to Text Extraction
Manually working with data in JPG, PNG, or PDF formats can be a hassle, as it takes a lot of time to analyze and these files
Ball tracking is crucial for AI systems to analyze sports effectively, but it's challenging due to factors like the ball's small size, high velocity, complex backgrounds, similar-looking objects, and varying lighting. This tutorial will teach you how to overcome these challenges.
Segment Anything Model 2 (SAM 2) is a unified video and image segmentation model.
Video segmentation presents unique challenges compared to image segmentation. Object motion, deformation, occlusion, lighting changes, and
Ensuring the safety of workers is crucial in industrial settings. One effective method to enhance safety is by creating a computer vision system to identify “red zones,” where heavy machinery
Introduction
Counting and keeping track of a large number of people entering and exiting an event can be challenging, especially when security is a priority. Traditional methods of monitoring people
Object tracking is a computer vision task that can identify various objects and track them through the frames of a video.
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Knowing where an object
The Open Images Dataset was released by Google in 2016, and it is one of the largest and most diverse collections of labeled images. Since then, Google has regularly updated
RT-DETR, short for "Real-Time DEtection TRansformer", is a computer vision model developed by Peking University and Baidu. In their paper, "DETRs Beat YOLOs on Real-time Object Detection&
4M: Massively Multimodal Masked Modeling, released by Apple in 2024, is a leap forward in the field of multimodal machine learning. This model, building upon the growing capabilities of large
Florence-2 is a lightweight model licensed under the MIT license. Although it has significantly fewer parameters than competing models like LLaVA 1.5, Florence-2 remains state-of-the-art due to the high-quality
This guide walks you through the process of building, training, and deploying a custom computer vision workflow using OpenAI and Roboflow. The process is broken down into three steps:
* Building
Focusing is hard. In recent years, the amount of distractions available to us has been increasing, and we often lose track of how much we are distracted.
To help myself
