Learn all about vector art, how vector graphics work, and why working with vectors in CorelDRAW can help you create stunning designs.
Vector graphics and artwork is clean, camera-ready and can be scaled infinitely without loss of quality. Lower resolution files don’t offer the same display standard – whether digitally or printed. Bitmap file formats are a perfect example of this. For example, whenever a .PDF, a .JPG or...
where n is the number of dimensions. In the image below, there is a two-dimensional vector (n=2). In machine learning, we use high-dimensional vectors, which are not as easy to imagine as the simple vector shown below.
A raster graphics image maps bits directly to a display space, also called abitmap. Raster graphics are made up of a fixed number of pixels, which makes them less scalable than vector graphics. At a certain point, when the raster image is enlarged enough, the edges become ragged, and it...
Vector Database Vector indexes and vector databases are both designed to efficiently store and retrieve vectors, that is, sets of numbers that represent the features of an object, like a document, image, or video or audio file. However, they have different characteristics and use cases. Vector...
The best way to determine if your file is a vector or not is to open it on your program of choice (you can easily use drag and drop into Corel Vector, for example), and zoom in. If your artwork is a raster image, you’ll be easily able to identify the pixels. If the edges of...
Image format is one of the most important things to get right on your website. Some file formats are higher-quality than others. Some take up more space than others, which impacts your site load time. To start, there are two main types of image formats: raster and vector. ...
With vector image files, resolution is not an issue. You can resize, rescale, and reshape vectors infinitely without losing any image quality. Vector files are popular for images that need to appear in a wide variety of sizes, like a logo that needs to fit on both a business card and a...
Vector embeddings typically deal withhigh-dimensional data. In practice, most nonnumerical information is high-dimensional. For example, even a small, simple 28x28-pixel black-and-white image of a handwritten digit from theMNIST data setcan be represented as a 784-dimensional vector in which eac...
Vector representations enable similarity search. For example, a vector search for “smartphone” might also return results for “cellphone” and “mobile devices.” Each dimension of the dense vector corresponds to a latent feature or aspect of the data. Alatent featureis an underlying characteristic...