Kush Scan

v1.34
Par: Oleksandr Koriukalov
Oct 9, 2023

Identify Cannabis Marijuana Weed Pot Info by Pic

Kush Scan pour iPhone est un divertissement application spécialement conçu pour être complet médical application.

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iPhone Captures d'écran

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KushScan - mobile application that recognizes type, thc level, sativa/indica level of a dry kush by photo. Application shows 3 most visually similar strains from our database, you can take a new photo or use previously saved from your gallery.

Using our app you can perform mobile cannabis testing, it can help you to understand what you smoke, how strong the strain is, using sativa indica level you can predict mood and effects. After prediction, on the probability screen, you can tap on a flower photo to read extended information about your marijuana.

For now we trained our algorithm to recognize 20 kinds of marijuana : Chocolope, Durban Poison, G13, Hindu Kush, Jack Herer, Lemon Haze, Northern Lights, OG Kush, Pineapple Express, AK-47, Amnesia Haze, Blue Dream, Bubble Gum, Girl Scout Cookies, Gorilla Glue, Green Crack, Pink Kush, Sour Diesel, White Widow. It means when you are trying to recognize strain that is not in a base - most relevant from 20 known kinds will be chosen.

Such a simple, at first glance, the application is based on a set of modern computer vision algorithms. More than two years of research were spent on inventing and customizing texture and color features, that describe marijuana strains in the most convenient way.

The continuously updated base that we are using for training our algorithms is compiled by an in-depth genetic analysis of hundreds of the most famous marijuana varieties.

WARNING: THE APPLICATION DOES NOT GIVE 100% ACCURACY, IT IS DESIGNED AS ENTERTAINING ONE, ANY INFORMATION PROVIDED BY THE APPLICATION DOESN'T HAVE PRESCRIPTION CHARACTERISTIC, AN INFORMATION PROVIDED IN THE APPLICATION IS NOT A LEGAL ADVICE, A USER SHOULD CONSULT PROFESSIONALS (E.G. MEDICAL SPECIALISTS) BEFORE TRYING ANY TYPE OF PRODUCT.

Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

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