Crash Catcher: Detecting Car Crashes in Video – Insight Data

Tasks that humans take for granted are often difficult for machines to complete. That's why when you're asked to prove yourself human through those CAPTCHA tests, you're always asked a ridiculously simple question, e.g., whether an image contains a road sign or not, or selecting a subset of images that contain food (see Moravec's Paradox). These tests are effective in determining whether a user is human precisely because image recognition in context is difficult for machines. Training computers to accurately answer these kinds of questions in an automated, efficient way for large amounts of data is complicated. To get around this, companies like Facebook and Amazon spend a lot of money to manually deal with image and video classification problems.