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computer vision

A collection of 16 posts

Recognize Anything: A Strong Image Tagging Model

computer vision

Recognize Anything: A Large Model For Multi Label Tagging

In the realm of multi-label image recognition, often referred to as image tagging, the objective is to assign semantic labels to images by identifying multiple relevant labels for a given image. This task holds considerable significance in computer vision, given that images inherently encompass multiple labels pertaining to objects, scenes,

Tutorial To Leverage Open AI's CLIP Model For Fashion Industry

Tutorial To Leverage Open AI's CLIP Model For Fashion Industry

In recent years, the field of artificial intelligence and machine learning has made significant strides, enabling researchers and developers to achieve groundbreaking outcomes. Among these advancements, the CLIP (Contrastive Language–Image Pretraining) model by OpenAI has emerged as a revolutionary breakthrough in AI. Leveraging its multimodal capacity, CLIP is remarkably

Transforming Computer Vision: The Rise of Vision Transformers and Their Impact

computer vision

Transforming Computer Vision: The Rise of Vision Transformers And Its Impact

As introduced by Vaswani et al. in 2017, self-attention-based architectures, particularly Transformers, have become the favored choice in natural language processing (NLP). The prevailing approach involves pre-training these models on extensive text corpora and fine-tuning them on more specific tasks, commonly referred to as fine-tuning. Transformers have demonstrated remarkable computational

After studying the Meta Co-Tracker, This is What We Have to Say About it.

computer vision

Meta Launched Co-Tracker! This Is What We Have to Say About It.

Last Month, Meta AI released a deep learning-based model for tracking objects in a video motion called Co-Tracker. Co-Tracker is a fast transformer-based model that can track any point in a video. It brings to tracking some of the benefits of Optical Flow. Co-Tracker can track: 1. Every pixel in

Grounded DINO: Combining DINO with Grounded Pre-training for Open-set Object Annotations

Enhanced Zero-shot Labeling through the Fusion of DINO and Grounded Pre-training

Visual intelligence requires the ability to understand and detect novel concepts. In the recent CVPR 2023, which occurred in June, a paper was published introducing Grounding DINO. The authors aim to develop a robust system capable of detecting arbitrary objects specified through human language inputs. They refer to this task

CVPR 2023: Advancements, Trends, and Future Directions in Computer Vision

CVPR 2023: Key Takeaways & Future Trends

The atmosphere was charged with excitement at CVPR 2023 in Vancouver, the renowned conference for computer vision. Researchers and practitioners gathered to exchange ideas about the significant advancements in the field over the past year and discuss the future of computer vision and AI as a whole. The predominant subjects

Detecting, Monitoring, and Correcting Monitoring Drift in Computer Vision Systems

computer vision

Computer Vision Data Drift - Why It's Important To Manage & How?

As the circumstances in which a computer vision model operates change, the model needs to be updated to ensure its adaptability. For instance, consider a model used to identify objects in a retail store. As new products are introduced, store layouts are modified, and lighting conditions fluctuate, the model's performance

Human Activity Recognition (HAR): Fundamentals, Models, Datasets

human activity recogonition

Human Activity Recognition (HAR): Fundamentals, Models, Datasets

Human activity recognition (HAR) refers to using computer and machine vision technology to interpret and understand human motion. HAR involves analyzing sensor-recorded data to interpret various forms of human motion, including activities, gestures, and behaviors. This data is then translated into actionable commands that computers can execute and analyze using

Insights And Best Practices For Building and Deploying Computer Vision Models

Insights And Best Practices For Building and Deploying Computer Vision Models

Building and deploying computer vision (CV) models require a deep understanding of both the theoretical aspects of computer vision and the practical challenges of developing robust and efficient systems. Computer Vision Engineers play a critical role in this process, leveraging their expertise to design, train, and deploy CV models that

computer vision

Foundation Models for Image Search: Enhancing Efficiency and Accuracy

Traditional image search engines employ intricate algorithms to match user-provided keywords with images stored in their database. These algorithms heavily rely on explicit features such as image descriptions, colors, patterns, shapes, and accompanying textual information from webpages. Developing these algorithms demands significant engineering effort and time, and they need help

Exploring the COCO Dataset and its Applications

computer vision

Exploring the COCO Dataset and its Applications

The COCO (Common Objects in Context) dataset is a widely used benchmark dataset in computer vision. It was created to facilitate the developing and evaluation of object detection, segmentation, and captioning algorithms. The COCO dataset consists of an extensive collection of images that depict everyday scenes with various objects in

Claude-A better Alternative to ChatGPT and BARD?

Claude-A better Alternative to ChatGPT and BARD?

New developments and advances continue to influence how we communicate with intelligent systems in the always-changing world of conversational AI. As ChatGPT and BARD's era comes to an end, a stunning replacement arises that promises to expand the possibilities for human-like discussions. A new era of seamless and fascinating encounters

Top 10 Image labeling tool of 2023

data annotation

Unlock Efficiency and Accuracy with the Top 10 Image Annotation Tools in 2023

With the rise of machine learning and artificial intelligence, image labeling has become a crucial aspect of many industries, from autonomous driving to e-commerce. But with so many image labeling tools out there, how do you choose the best one for your needs? Well, fear not! In this blog, we'll

How does the YOLO algorithm help in object detection?

Leveraging YOLO Object Detection for Accurate and Efficient Visual Recognition

It’s become increasingly evident that the YOLO algorithm has revolutionized the way we think about algorithms, and is quickly becoming an essential tool for machine learning applications. By streamlining object detection through efficient deep neural networks, YOLO has shown us how powerful one can be when effectively leveraging both

ChatGPT: What is it? Why it's special?

Unleashing the Power of ChatGPT: Revolutionizing Conversational AI

This technology is the current talk of the town. Not just AI Industry but almost every industry is talking about this new technology named as ChatGpt (a product by OpenAI). This technology is soon going to bring a different revolution in the industry. You may not have to go to

Outsourcing Data Annotation Services for Machine Learning, is it a good idea?

data annotation

The Ultimate Guide to Outsourcing Data Labeling for Enhanced Efficiency and Accuracy

Among the most essential processes in any algorithm or AI project is data annotation. It entails taking raw datasets and labeling or tagging the data that the systems will have to learn. There are many various kinds of data annotation services that can be executed based on the specific needs