Small objects that naturally come in groups, such as a line of ants, are therefore hard for YOLO to detect and localize. YOLO struggles to detect and segregate small objects in images that appear in groups, as each grid is constrained to detect only a single object. YOLO limitationsĪlthough YOLO does seem to be the best algorithm to use if you have an object detection problem to solve, it comes with several limitations. 💡 Pro tip: Looking for a free image annotation tool? Check out our Complete Guide to CVAT-Pros & Cons.

Methods that use Region Proposal Networks thus end up performing multiple iterations for the same image, while YOLO gets away with a single iteration. While algorithms like Faster RCNN work by detecting possible regions of interest using the Region Proposal Network and then perform recognition on those regions separately, YOLO performs all of its predictions with the help of a single fully connected layer.

YOLO is a much faster algorithm than its counterparts, running at as high as 45 FPS. In addition to increased accuracy in predictions and a better Intersection over Union in bounding boxes (compared to real-time object detectors), YOLO has the inherent advantage of speed. 💡 Pro tip: Have a look at 12 Types of Neural Network Activation Functions.

What is YOLO?Ĭompared to the approach taken by object detection algorithms before YOLO, which repurpose classifiers to perform detection, YOLO proposes the use of an end-to-end neural network that makes predictions of bounding boxes and class probabilities all at once.įollowing a fundamentally different approach to object detection, YOLO achieves state-of-the-art results beating other real-time object detection algorithms by a large margin.

While this gives accurate results in object detection with a high mean Average Precision (mAP), it results in multiple iterations taking place in the same image, thus slowing down the detection speed of the algorithm and preventing real-time detection. The output from the RPN is then fed to a classifier that classifies the regions into classes.

What happend to yolo