1. Face Recognition 2. Optical Character Recognition (OCR) 3. Camera Filters
Steps: Image Input, Image Processing, Object Detection, Object Classification, Output (Response)
Challenges: 1. Low Quality Image: struggles to distinguish between different objects 2. Angled Image: struggle to properly identify image based on an odd perception of the object 3. Misidentification of objects: incorrectly recognizes certain objects
Circles the object. Sometimes incorrect identification of object (circles the wrong object). Multiple similar items can lead to confusion
1. Image Recognition: identification of confidential or restricted data like bank details, passwords, liscense plates, etc. can be unsafe 2. Deepfakes: can be used for malicious intentions (impersonation or misinformation) 3. Autonomous Vehicles: moral issues (should a self driving vehicle avoid hitting a passenger and hit anither car instead? who exactly should be held accountable?)