Pholder

Pholder families have several thousand images in our photo library.

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Pholder

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Pholder in to filter reviews. How we built it Pholder is built on the Electron desktop app platform, pholder, is programmed mainly in Node.

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Pholder

Our families have several thousand images in our photo library. Unfortunately, sorting through all of these images to bring back a specific memory is a nightmare - it takes so long to go through hundreds of old folders to find the ones we want. Although apps such as Google Photos improve this situation by producing an easily- searchable tagged archive in the cloud, these apps come with their own problems, namely the increased cost of cloud storage and the privacy problems associated with uploading our photos to a cloud-based application. Our app, Pholder, uses highly-optimized Machine Learning models to automatically identify objects in images based on the content of the image itself. It then combines this with other information about the image, such as the location the image was taken and the type of camera, in order to efficiently create an easily searchable archive of images, searchable using Natural Language Processing technologies. Pholder is built on the Electron desktop app platform, is programmed mainly in Node. It consists of two interconnected parts: a frontend and a backend. It allows adding images through a simple and intuitive drag-and-drop interface.

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Deals and Shenanigans. Additionally, we were successfully able to train a high-quality machine learning model in Tensorflow. Another problem we had to deal with was a lack of generalizability in our machine learning model - specifically, our model was unable to deal with images that had multiple objects in them. Sign in to filter reviews. Therefore, we found images using nonstandard formats to store metadata or not storing metadata at all. Amazon Ads Reach customers wherever they spend their time. How we built it Pholder is built on the Electron desktop app platform, is programmed mainly in Node. We are proud of creating Pholder and learning about various topics through creating it. Please try again later. When new images are added or images are searched for, the frontend notifies the backend which is programmed in Node. See All Buying Options. I used to have a non-adjustable Glif iPhone stand and I really like the design, they do have an adjustable version but I couldn't find it in my local store. You can still see all customer reviews for the product. Make Money with Us.

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From the United States. Our app, Pholder, uses highly-optimized Machine Learning models to automatically identify objects in images based on the content of the image itself. It also analyzed reviews to verify trustworthiness. The clamps are strong enough to hold an iPhone on a tripod or monopod, but I do feel that the screw is a bit weak if you accidentally knock your phone on something. Please make sure that you are posting in the form of a question. What it does Our app, Pholder, uses highly-optimized Machine Learning models to automatically identify objects in images based on the content of the image itself. AmazonGlobal Ship Orders Internationally. Blink Smart Security for Every Home. Let Us Help You. An excellent buy. This page works best with JavaScript. Unfortunately, sorting through all of these images to bring back a specific memory is a nightmare - it takes so long to go through hundreds of old folders to find the ones we want.