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Google's image search engine started to show additional information about photos after clicking the results. The landing page's sidebar includes EXIF data: camera, settings, focal length, flash usage and exposure bias.
"Additional details are found from within the image file, often saved there by the digital camera that took the picture or the application that generated the image. This data can also be manually added or changed after the image has been created. Google doesn't create or change this data in images created by others. The data is saved using the Exchangeable Image File Format (EXIF) specification and can include details about the type of camera that took the image, the camera settings (like aperture, focal length, exposure length, and flash settings), and the copyright and usage rights associated with the image by the person who created or edited the image,"
explains Google.
Another change is that you can click "more sizes" for other versions of the image and "similar images" for visually related images. The sidebar also includes the search result's snippet.
The sidebar can also include a list of related searches, which offer a lot of information about the image and help you find similar images:
Google should also add links to the previous and the next search result so that you don't have to go back to the list of results.
Google Image Search added a filter that lets you restrict the results to the pages created in the past week. Just click "past week" in the left sidebar and you'll see a list of recent images that include labels like "20 hours ago" or "5 days ago" to show how recent they are. Google's image search engine
shows the same labels even if you don't restrict the results to recent images.
The interface doesn't let you customize the date range, but you can edit the URL and replace "qdr:w" with "qdr:h" (past hour), "qdr:h20" (past 20 hours), "qdr:d" (past 24 hours), "qdr:d2" (past 2 days), "qdr:w2" (past 2 weeks), "qdr:m" (past month), "qdr:y" (past year). Another trick you can try is to type your query in Google Web Search, use the date filters from the sidebar and then click "Images" in the vertical menu. Custom date ranges don't work in Image Search yet.
When you’re searching for images, sometimes it can be hard to come up with exactly the right words to describe what you have in mind. For example, when you think of London, you might picture the iconic clock tower or the big Ferris wheel. You may not always remember the names of those landmarks, but you can visualize them in your mind. To make it easier for you to find images in situations like these, you can now use Google Images with sorting.
When you search for [london], by default you’ll see image results ranked by relevance. Click on “Sort by subject” in the left-hand panel and you’ll see images organized into categories that will narrow down your search and help you find the exact image of London that you want.
Sorting by subject shows that some of the most popular images associated with London are the London Eye, Big Ben, Tower Bridge and the city at night. This organized view helps you find the images you were visualizing more quickly, so you might realize, “Ah, that big clock tower is called Big Ben, that’s what I was looking for.” You can then can click on the Big Ben group to find the best image within that subject group.
You can also use this feature to explore categories of a general topic that may be easier to learn about visually, like
flower varieties or
dog breeds. For example, if you want to get flowers for someone but you only know what their favorite kind looks like, not the name of it, you can sort by subject to learn different flower types and discover the name of the type you’re looking for. Watch this video to learn more about how sorting can help you find the image you’re seeking:
Google Images with sorting HQ Video
Sorting by subject uses algorithms that identify relationships among images found on the web and presents those images in visual groups, expanding on the technology developed for Google Similar Images and Google Image Swirl. By looking at multiple sources of similarities, such as pixel values and semantic relationships, and by mining massive amounts of data, we can make meaningful connections and groupings among images.
Sorting will be rolling out globally to nearly every domain and language over the next week. Whether you have a particular image in mind or you’re just exploring a general topic, sort by subject can help you find the image you need—even if you don’t have the exact words to describe it.
