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There is a sharp change in intensity a sharp change in color. Image can be read as a matrix an array of pixels that contains the light intensity at some location. 0 : no intensity if something is completely black255 : maximum intensity that something being completely white a strong gradient : a steep changea small gradient : a shallow change  cv2.Canny  cv2.Canny(image, low_threshold, high_thres..

Object Detection - Image Classification = (single object) Classification - Image Localization = (single object) Localization, predicting the location of a single object in the Bounding Box. - Object Detection = (multi objects) Localization + (multi objects) Classification In addition, Object Detection returns the coordinate of the Bounding Box and Confidence Score. Bounding Box It returns the to..

YOLO(You Only Look Once) 1. Devide the cell to the grid evenly 2. The grid cell which has the center of the object is assigned to detect that object(two red dots on the rightmost pic). 3. Each grid cell predict the bounding box and confidence score of bounding box. (Higher confidence score, thicker bounding box (The picture above (4)) ). 4. At the same time, classification is carried out simulta..

One Stage Object Detection(Single-Stage Object Detector) A class of object detection architectures that are one-stage. They treat object detection as a simple regression problem; for example, the input image is fed to the network, directly outputs the class probabilities and bounding box coordinates. These models skip the region proposal stage, also known as Region Proposal Network, which is gen..

DarkNet It inspired by the structure of GoogleNet. It has been designed for generating a final feature map that fits the size of the prediction, 7x7x30 for YOLO v1. It consists of a total of 24 conv layers and 2 fc layers. DarkNet trained by ImageNet dataset. Image size - 224x224 : When it trains for classification task. https://www.jeremyjordan.me/object-detection-one-stage/ - 448x448 : When it..