When you say Image Recognition it is one of the hottest topics of now a day about technology. Because of its accurate works in identifying the image, etc.
The Accuracy Of Image Recognition
Well! I will discuss with you why image recognition is so accurate in terms of identifying images, objects, and places.
Therefore I show you the image recognition of engines and methodology covered in this study.
- Amazon AWS Rekognition
- Google Vision
- IBM Watson
- Microsoft Azure Computer Vision
Also, we have three users that can go through and hand-tag of each image that we use in this study. Of course, the total number of the image that we use is 2,000 that broke into four categories.
- Charts
- Landscapes
- People
- Products
The Image Recognition Engine Tag
There are 500 of each image in terms of accuracy evaluation. Therefore, part of the study that every tag from the image recognition engine it also evaluated on whether or not it was accurate.
Furthermore, the distinction here is when the tag could be judged to be accurate. Therefore even if it was a human that could be likely to use on describing an image.
Let’s say if a picture of an outdoor scene might be tag by an engine as panorama, it is accurate. But it still not one of the tags that the user would think of the describing image.
List Of The Top 8 Image Recognition App Because Of Its Accuracy.
- Google Lens – The extreme of using this app is allowing you to capture an image with the smartphone and then performed an image-based of what web searching.
- Aipoly Vision – Because of his accessibility Airpoly is an excellent example of app design. Therefore it can help visually impaired and color blind people to recognize the objects with their smartphone camera.
- TapTapSee – It also of his accessibility this mobile camera app was designed to address the need of his user especially the blind and visually impaired. This app takes advantage of the camera device of the user and also of his voiceover function that can take a picture or video.
- Cam Find – This app allows users to search the physical world by using a mobile visual search engine. Therefore it can take a picture of an object and then tell the users what is it and generate practical results such as images, videos, or local shopping offers.
- Screen Shop – This app easily identifies shoppable items in the photos, focusing on the clothes and also accessories.
- Flow Powered by Amazon – The flow can identify millions of products likely DVDs, CDs, book covers, video games, and also package household goods.
- Google Reverse Image Search – This app help users to look for a similar image that the one he uploaded. Therefore it very helpful for a user to find a higher-quality image on the web.
- Leaf Snap – The series of this app has a free mobile app that uses visual recognition software to help users identify tree species from the photo of their leaves.
