We have run each pet profiles description through googles natural language api, providing analysis on sentiment and key entities. Changes focused on location lookup optimizations, debouncing, and fetch policies, to improve overall performance and site stability. Some properties will not exist in json file if not present, i. e. This is the final project for the deep learning course. Whats new in petfinder? You may optionally utilize this supplementary information for your pet description analysis. Creating an answer for you using ai. · our defined business problem is when new pets come in, what would be the estimated time for new pets to be adopted. based on different traits each pet has, we could estimate how long it takes for the pet to be adopted according to the model we created. Should petfinder consider a longer time to adopt a pet? You should not rely on this feature for medical, financial, or legal advice. File name format is petid-imagenumber. json. In this competition you will predict the speed at which a pet is adopted, based on the pet’s listing on petfinder. · learn how to provide personalized pet food recommendations for your adoptable dogs. File name format is petid. json. Find out the latest updates and improvements. The input to our algorithm includes animal type (dog or cat), breed, gender, color, profile picture online and the descriptions about the pet, etc. How does petfinder work? We’re excited to introduce the new and improved petfinder — a faster, smarter, and more intuitive way to find your perfect pet match. Enjoy faster speed, better reliability, and easier tools—part of a full rebuild with exciting new features coming in 2026. We have run the images through googles vision api, providing analysis on face annotation, label annotation, text annotation and image properties. Google natural language api reference: See full list on github. com Phone numbers and emails are already anonymized in text annotation. How can petfinder improve pet adoption performance? Ai-generated content may sometimes contain inaccurate, incomplete, or biased information, so make sure you do additional research. Over the past year, we’ve listened closely to your feedback and rebuilt petfinder from the ground up. Text annotation has been simplified to just 1 entry of the entire text description (instead of the detailed json result broken down by individual characters and words). Competition link on kaggle: · the new and improved petfinder pro platform is live! You may optionally utilize this supplementary information for your image analysis. What s new at petfinder? As such, there are fewer sentiment files than there are rows in the dataset. · improved location-related queries and recommendations across several site areas. Google vision api reference: There are some descriptions that the api could not analyze. The data included text, tabular, sentiment, and image data. In this classification task, we look to develop an algorithm to predict the speed of pet adoptions.

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