FaceMark is a powerful API for facial feature detection. It finds 68 points for a frontal face and 35 for a profile one. FaceMark detects landmarks for faces on the image specified by URL or uploaded as a file and produces JSON output containing a vector of facial landmarks and orientation for each face found. Check out visual demo here: http://apicloud.me/apis/facemark/demo
FaceRect is a powerful and free API for face detection. It finds faces (both frontal and profile) on the image specified by URL or uploaded as a file and is able to find multiple faces on a single photo, producing JSON output with a bounding box for each face found. Check out visual demo here: http://apicloud.me/apis/facerect/demo/. Note that additionally FaceRect can find face features for each detected face (eyes, nose and mouth). For more precise face feature detection please see our FaceMark API: https://www.mashape.com/apicloud/facemark
Stephen here from Lambda Labs. For sample code and a graphical demo, check out http://api.lambdal.com/docs. Our API provides face recognition, face detection, eye position, nose position, mouth position, and gender classification. If you have any questions ask! Just send an email to [email protected] Happy Hacking! -Stephen
ColorTag is a powerful API for color detection. Taking an image file (or URL) as input ColorTag produces a list of text labels and hex RGB values that can be then used as tags for a certain image or item. Check out visual demo here: http://apicloud.me/apis/colortag/demo/. The API can sort tags by relevance (detecting colors of objects on the image, e.g. a dress, a car, etc.) or simply by weight in the image. First mode is perfect for e-commerce applications, allowing to automatically tag items with colors by simply providing a photo or a thumbnail and build a color tag cloud, so users are able to search items by color (e.g. red). Weight sorting mode can be useful for photos, wallpapers or other images without well-defined objects on them to analyze the palette in general. Text color labels can be assigned with different precision (just basic colors, W3C-compatible colors, precise colors, etc.).