Write a compilation of various image databases, such as drawings by kids, photographs of natural phenomena, objects created by humans, and 2D and 3D faces.

this is a list of links to a number of public-domain stimulus sets that you can choose from when designing Lab 2. All these sets have already been pilot tested and have established reliability and validity. If you choose not to use one of these sets and wish to create your own instead, please be aware you will be responsible for pilot-testing the set you create to establish reliability and validity, and this process must be documented in your paper for Lab 2. You only need to use ONE of these sets, not all of them! I just wanted to give you a lot of options so you can try to design a study about something that interests you. Nature Scene Collection from the University of Texas at Austin: http://natural-scenes.cps.utexas.edu/db.shtml A collection of nature scenes containing no manmade objects or people. Bank of Standardized Stimuli from McGill University: https://sites.google.com/site/bosstimuli/download Line drawings of over 1400 assorted objects. Dartmouth Database of Children’s Faces: https://lab.faceblind.org/k_dalrymple/ddcf Images of isolated children’s faces on a black background displaying a number of different facial expression from several different camera angles. Please note that you will need to send an email to the owner of the set, Dr. Kirsten Dalrymple, in order to obtain the whole stimulus set. This has not been an issue for students in the past. Ecological Alternative to Snodgrass and Vanderwart (direct download link): https://doi.org/10.1371/journal.pone.0037527.s001 A set of 360 color photographs of objects, animals, and scenes. The Geneva Affective Picture Database (direct download link): https://www.unige.ch/cisa/index.php/download_file/view/288/296/ A set of 730 images designed to evoke specific emotions in people viewing them. Graspable Objects and Matched Non-Objects: Graspable Objects – https://bitbucket.org/lvanderlinden/materials-004-jov/src/master/exp1/stimuli/ ; Non-Objects – https://bitbucket.org/lvanderlinden/materials-004-jov/src/master/exp2/stimuli/ A set of objects designed to be grasped with the hands, with “non-objects” (i. e., abstract shapes) that have been matched to the graspable objects’ shape and texture. Face Place: https://sites.google.com/andrew.cmu.edu/tarrlab/stimuli?authuser=0 (scroll down to the bottom and click on the “Face Place” menu to expand it in order to access the downloadable image files) Multiple photographs of over 200 individuals from many different races, featuring different facial expressions, multiple perspectives, and some participants in disguises. This same link contains a lot of other image sets, too! Most of them are of imaginary humanoids (“Greebles”), imaginary animals (“Fribbles”), basic geometric shapes (geons), imaginary objects (Novel 2D Shapes), impossible objects, etc., that you could do some really cool stuff with! FaceScrub: http://vintage.winklerbros.net/facescrub.html A dataset with over 100.000 images of 530 celebrities. Please note that you need to fill out this form in order to request access to this database: https://www.cognitoforms.com/ADSC2/FaceScrubDatasetPasswordRequest Again, this has not been a problem for students in the past. MultiPic: https://www.bcbl.eu/databases/multipic/ (scroll down to the section titled “Drawings”) 750 drawings standardized for name agreement and visual complexity in several languages. Nencki Affective Picture System: https://lobi.nencki.gov.pl/research/8/ A set of photos designed to induce specific emotions in the people who view them. Please note that you need to fill out this form in order to request access to this database: https://exp.lobi.nencki.gov.pl/dnaps This has not been an issue in the past. Normative Ratings for Flanker Stimuli: https://github.com/smathot/materials_for_P0011.2/tree/master/stimuli A set of shapes, symbols, letters, false fonts, and digits. Novel Object and Unusual Name (NOUN) Database: http://michaelhout.com/wp-content/uploads/2014/09/NOUN-Database-2ndEd-USLetter.pdf 94 images of unusual “nonsense” stimuli that have been compared for familiarity. A Pool of Pairs of Related Objects (POPORO): https://figshare.com/articles/dataset/Images/2067684 Pairs of everyday objects with norms of semantic relatedness. Psychological Image Collection at Stirling (PICS): http://pics.psych.stir.ac.uk/ A collection of assorted image databases, including 2D and 3D faces, children’s drawings, manmade objects, and natural images. Segmentation Evaluation Database: http://www.wisdom.weizmann.ac.il/~vision/Seg_Evaluation_DB/ (click the “Browse single object dataset” or “Browse two objects dataset” links in the left-hand menu to access the stimuli) Grayscale images of natural and manmade objects. THINGS: Object Concepts and Naturalistic Object Images: https://osf.io/jum2f/ (Under the “Files” heading, expand the folder entitled “Main” for the links to the zip files that actually contain the images, then click on the zip file you would like to download. This will take you to a separate page, and you will need to click the “Download” button at the top of the page to actually download and view the file) A dataset of 1854 object concepts and 26,000 naturalistic object images. UPenn Natural Image Database: https://web.sas.upenn.edu/upennidb/albums/ 4000+ natural scenes from baboon habitat in Botswana. What Do Saliency Models Predict?: https://data.mendeley.com/datasets/8rj98pp6km/1 (scroll down to the “Files” heading and click the “Images” folder. You will need to open each image file individually, unfortunately) A set of images with the focal point of the picture in different areas of the image. The Brussels Artificial Characters Set (BACS): https://osf.io/dj8qm/ (Scroll down to “Files”, then under the “Fonts” heading, expand the “OSF Storage (United States)” menu for the three font files. Clicking on an .otf file will take you to a separate page where you will need to click the “Download” button) Three “nonsense” fonts that have been matched to features of the letters in the English alphabet. The 10K US Adult Faces Database: http://wilmabainbridge.com/facememorability2.html Please note that you need to fill out the form at the bottom of the webpage in order to access this database (you may list me under “adviser”). From the website: “This database contains 10,168 natural face photographs and several measures for 2,222 of the faces, including memorability scores, computer vision and psychology attributes, and landmark point annotations.” Face Research Lab London Set: https://figshare.com/articles/dataset/Face_Research_Lab_London_Set/5047666 102 adult faces in color, including data related to age, gender, and ethnicity (in Excel format). The “Neutral Front” set of faces have also been rated for attractiveness on a 1-7 scale by a sample of 2513 people. 1075022 39 minutes ago Your draft should consist of your title page, introduction section, method section, and reference page for the three articles you cited in your introduction.