Sep 13, 2022 · In this list, we are covering the top 10 datasets for object detection. Object detection is one of the most common task types in computer vision and applied across use cases from retail, to facial recognition, over autonomous driving to medical imaging.

Apr 14, 2023 · Object detection is a computer vision technique that detects relevant objects within an image or a video frame. Object detection algorithms use complex machine learning and deep learning architectures to analyze image data, and recognize and localize objects of interest.

Mar 22, 2023 · YOLO (You Only Look Once) is a popular set of object detection models used for real-time object detection and classification in computer vision. Originally developed by Joseph Redmon, Ali...

Explore these datasets, models, and more on Roboflow Universe. Roboflow hosts free public computer vision datasets in many popular formats (including CreateML JSON, COCO JSON, Pascal VOC XML, YOLO v3, and Tensorflow TFRecords). For your convenience, we also have downsized and augmented versions available.

DIOR: "Object detection in optical remote sensing images: A survey and a new benchmark". PESMOD: "UAV Images Dataset for Moving Object Detection from Moving Cameras". AI-TOD: "Tiny Object Detection in Aerial Images". (IEEE ICPR 2021)

Oct 10, 2020 · Our opensource team at Monk Computer Vision Org compiled a list of object detection, image segmentation and action recognition datasets and created short tutorials over each of them for you to utilize these datasets and try out different object detection algorithms.

Mar 30, 2024 · Object detection is a computer vision task that involves identifying and localizing objects in an image or video frame. It uses bounding boxes to differentiate instances and is widely used in applications like self-driving cars, medical imaging, and traffic surveillance.

Jul 4, 2024 · Feature extraction, region proposal generation, and object localization and categorization are important parts of object detection systems. Well-known object identification models with distinct benefits in terms of speed and accuracy, such as YOLO, SSD, and Faster R-CNN, have established standards in the industry.

In order to quickly demonstrate object detection models, [we collected and labeled a small dataset]. First, we took photos of free bananas from our office and generated 1000 banana images with...

In this article, we will discuss object detection and how it can be used and mention some of the most popular techniques: from classic to state-of-art. Finally, we also include code examples of some of the most popular models to try yourself.