Category
page 1Object recognition and categorization
Microsoft Surface
interactive surface computing platform by Microsoft
Google Goggles
downloadable image recognition application created by Google

DeepDream
thumb|The Mona Lisa with DeepDream effect using VGG16 network trained on ImageNet
object detection
computer technology related to computer vision and image processing
face detection
computer technology to detect presence and location of faces
gesture recognition
topic in language and computer science
scale-invariant feature transform
feature detection algorithm in computer vision
boosting
ensemble meta-algorithm for reducing bias and variance in machine learning
ImageNet
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. ImageNet contains more than 20,000 categories, with a typical category, such as "balloon" or "strawberry", consisting of several hundred images. The database of annotations of third-party image URLs is freely available directly from ImageNet, though the actual images are not owned by ImageNet. Since 201
AlexNet
thumb|362x362px|AlexNet architecture and a possible modification. At the top is half of the original AlexNet, which is divided into two halves, one for each GPU. At the bottom is the same architecture, but the final "projection" layer is replaced by another that projects to fewer outputs. If one freezes the remaining model and only fine-tunes the last layer, one can obtain another vision model at a significantly lower cost than training one from scratch.
thumb|245x245px|LeNet (left) and AlexNet (right) block diagram
AlexNet is a convolutional neural network architecture developed for image cla
Histogram of oriented gradients
feature descriptor used in computer vision
Automatic target recognition
ability to automatically recognize targets
object recognition
technology in the field of computer vision for finding and identifying objects in an image or video sequence

pedestrian detection
computer technology related to computer vision and image processing
Viola–Jones object detection framework
Machine learning algorithm
bag-of-words model in computer vision
image classification model