In this paper we perform a study of the image contents of the Chilean web (.cl domain) using automatic feature extraction, content-based analysis and face detection algorithms. In an automated process we examine all .cl websites and download a large number of the images available (approx. 83,000). Then we extract several visual features (color, texture, shape, etc.) and we perform face detection using novel algorithms. Using this process we semi-automatically characterize the image content of the web in Chile in terms of the detected faces and the visual features obtained automatically. We present statistics of use to anyone concerned with the image content of the web in Chile. Our study is the first one to use content-based tools to determine the image contents of the web.