Object Detection
Object detection is kind of classificitaion which you need to figure out where the object is located in the image. The output is usually described as:
$$
y = [P_c, P_x, P_y, W, H, c_1, c_2, c_3, …]
$$
$P_c$ means whether this image contain the content you’re detecting, $c_i$ the probability of the label_i object exists.
Object detection includes both localization and detection.
Sliding Windows Detection
Convolution Implementation
YOLO(You Only Look Once) Algorithm
Evaluationg Object Localization
$$
Intersection\ Over\ Union = \frac{size\ of\ overlaping\ area}{size\ of\ true\ and\ detection\ area}
$$