Generic YOLO Models Trained on COCO
Cutting edge open-vocabulary object detection app
Detect objects in images
Detect defects in images and videos
Identify jaguars in images
Identify car damage in images
Detect objects in images
Detect objects in images and return coordinates
Detect potholes in images and videos
Identify objects in images and return details
Detect objects in uploaded images
Identify and label objects in images using YOLO models
Detect objects in images and videos
Yolos is a powerful object detection tool that leverages the YOLO (You Only Look Once) family of models. It is specifically trained on the COCO dataset, making it capable of detecting a wide variety of objects in images. Yolos is designed to enable real-time object detection, making it useful for applications that require speed and accuracy. Its primary function is to identify and locate objects within images, providing developers and users with a reliable solution for object recognition tasks.
What types of objects can Yolos detect?
Yolos can detect up to 80 different object categories, including common objects like people, cars, bicycles, animals, and household items.
How accurate is Yolos?
Yolos achieves high accuracy due to its training on the COCO dataset, which is one of the most comprehensive datasets for object detection tasks.
Can Yolos be used for custom object detection?
While Yolos is pre-trained on the COCO dataset, it can be fine-tuned for custom object detection tasks by retraining the model with your own dataset.