Pholder

Our families have several thousand images in our photo library, pholder. 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 pholder the ones we want. Although apps such as Google Photos improve this situation by producing an easily- searchable tagged archive in the cloud, pholder, these apps come with their own problems, namely the increased cost of cloud storage and pholder privacy problems associated with pholder our photos to a cloud-based application.

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Pholder

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An excellent buy. Like 1.

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Pholder

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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. Wonderful product. How we built it Pholder is built on the Electron desktop app platform, is programmed mainly in Node. I will use it to prop up my iPhone for photos and Skype sessions. You can still see all customer reviews for the product. Built With electron html javascript node. Make Money with Us. There was a problem filtering reviews right now. Get fast answers from reviewers What do you want to know about? Inspiration Our families have several thousand images in our photo library. Pholder is built on the Electron desktop app platform, is programmed mainly in Node. This page works best with JavaScript. When new images are added or images are searched for, the frontend notifies the backend which is programmed in Node. 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 families have several thousand images in our photo library.

Let Us Help You. Make Money with Us. Additionally, we were successfully able to train a high-quality machine learning model in Tensorflow. It also analyzed reviews to verify trustworthiness. 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. Inspiration Our families have several thousand images in our photo library. In order to fix this problem, we switched from an image classification model to an object localization model capable of identifying all the objects present in an image rather than just one. It consists of two interconnected parts: a frontend and a backend. I will use it to prop up my iPhone for photos and Skype sessions. Additionally, we want to use pagination to decrease the memory requirements of the app. Showing 0 comments. Your recently viewed items and featured recommendations. 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.