Fyndit AI blog

In the world of computer vision, the ability to detect objects in images has become ubiquitous. From self-driving cars to medical imaging, object detection is revolutionizing industries. But what if we could take it a step further and develop a system that can detect any object, even those it has never seen before? That's the idea behind Grounding DINO, a new open-set object detector that is pushing the boundaries of what's possible in computer vision. Developed by researchers at Tsinghua University and IDEA, Grounding DINO is a significant leap forward in the field, with the potential to transform how we interact with the visual world. What is Grounding DINO? Grounding DINO is an AI model that can detect and locate objects in an image, similar to other object detection models. But what sets it apart is its ability to detect objects even if they weren't explicitly included in its training data. This is known as open-set object detection. Traditional object detectors are tra...

  Object detection has become a cornerstone of computer vision applications, from autonomous driving to retail analytics and augmented reality. Choosing the right model for your project can feel overwhelming with the rapid advancements in deep learning. This guide will walk you through the best state-of-the-art (SOA) object detection models in 2025, highlighting their strengths and use cases. If you're interested in innovative applications of object detection, sign up for the FYNDIT AI beta to experience next-generation object tracking solutions or take our Customer Stories Survey to help shape our product. What is Object Detection? Object detection combines classification (what is in the image) with localization (where the object is in the image). It outputs bounding boxes around detected objects and labels them. Modern object detection models are powered by deep learning, leveraging neural networks trained on massive datasets. The Top Object Detection Models in 2025 1. YOLOv...