Out of several DNN based object detection frameworks we evaluated for speed and accuracy balance we selected the popular Faster R CNN as the one best fitting our needs As compared to other frameworks where region proposals are generated offline Faster R CNN speeds the process up significantly enough for it to be done online To speed up the calculations we use an innovative algorithm developed by Microsoft Research in collaboration with University of Science and Technology of China called Optimized Product Quantization for more information see the paper Optimized Product Quantization for Approximate Nearest Neighbor Search For example you may need to tweak your visual search box to fully capture the object of interest to get the best results Celebrity Recognition however is based on a Face Detection Model which is different from the Object Detection Model discussed in this article and it will be covered in one of the upcoming posts Developers can build visual search into their app using Bing APIs as described here We not only want to determine the category of the object that got detected but also its precise location and area occupied within the frame We started several years ago by introducing lsquo Search By Image capability In the Detail View you will now see a magnifying glass symbol in the top left of the image Please note that Object Detection is currently only available on the desktop with the mobile support still in the works We realize that many Bing image search users may be shopping for items they see in the image or a similar product You really like the overall d cor but you are particularly interested in that nice looking chandelier You can also simply draw a box around the chandelier if that s more convenient With Bing Visual Search now you can One crucial characteristic shared by most object detection algorithms is generation of category independent region hypotheses for recognition or region proposals You can search for any object you see in the image Now if you just click on the hotspot over an object of interest Bing will automatically position the https://onespotsocial.com/ripenxg203 box in the right place for that object and trigger a search showing its results in Related Products and Related Images sections of the page We measured that the new Azure instances running NVIDIA cards accelerated the inference on detection network by 8x Microsoft does not endorse use of Faster R CNN or NVIDIA To accomplish this we employ a technique known in vision area as Visual Words It is called the visual search button Thus we decided to use that as an initial target As a https://demo.wowonder.com/1774621400376991_536788 step in the query image understanding process we run Image Processing Service to perform object detection extraction of various image features including DNN features recognition features and additional features used for duplicate detection After the matching step we enter the stage of multilevel ranking The major difference is that now instead of query terms we need another way to represent the query image