Rate the quality of 25,000 images (academic study)

Rate the technical quality of photos of faces using the provided Chrome-based app. This is part of an academic study on the perception of the quality of face photos. IMPORTANT: The technical quality of a face image should not be confused with face attractiveness. For more information please read the task instructions below. OVERVIEW You will be using our browser-based app (IQAvi) to rate the quality of 25,000 photos. Use the slider below each image to choose a quality rating from Bad (1) to Excellent (100). Please review the task instructions ([login to view URL]) carefully before participating in the study. It takes about 3 seconds to decide on a quality value for each image. We will be accepting 10-20 participants in this project. PARTICIPATION REQUIREMENTS - experience with photography, design or visual arts - normal or corrected-to-normal vision - confidence in assessing and rating the visual quality of images HARDWARE REQUIREMENTS - Adjust your screen brightness and contrast to clearly see each image. It is possible to miss some details if your screen brightness is too low relative to the ambient light. - Use a sufficiently large physical screen size, with a resolution greater than 1024x768 pixels to participate in the study. Do not use a smartphone or a tablet. - Use a fast and stable internet connection (1+ Mbps). WORK PLAN 1. It is essential to read the task instructions ([login to view URL]) to clearly understand what technical quality is and how to use the scale provided. 2. Open the links here ([login to view URL]) one by one, from top to bottom, in your Chrome web-browser. Each link, or session, contains a batch of about 50 images. 3. Fill in your system information, and enter your freelancer.com profile URL when prompted, which will identify your submission. This is important, please double-check that you fill it in correctly. 4. Click on “start experiment”. 5. Choose the quality for each image by dragging the quality slider below. 6. When finished with a batch of images, click the submit button to get your completion code. 7. Copy and paste each completion code into the corresponding row of the provided .CSV file. 8. Complete all the sessions (including training) and send the filled .CSV file back to us. SUGGESTIONS - In the training session ([login to view URL]) you will be presented with 60 images with given answers. Use this time to practice and better understand the task at hand. - Providing good quality annotations requires paying attention to details. Please spend sufficient time per image. - Many of the non-training images are meant to assess your level of attention to the task, and accuracy of your answer. Please carefully consider your choices, while trying to be consistent throughout the experiment. IMPORTANT - Some of the images are presented multiple times. It is only natural that the quality level assigned for identical images should be similar. We will be checking for this. - In case any of the sessions are not sufficiently well annotated you will be asked to redo them. This is based on your accuracy and the consistency of your answers.