Body Scan by Zing

Pricing model
Free
Upvote 0
Zing's Body Scan Report is a fitness tool powered by AI that analyzes a full-body selfie to determine body fat and lean mass percentages. It creates a customized fitness regimen and offers macronutrient plans for fats, proteins, and carbohydrates. The precision of the Body Scan by Zing is on par with costly DEXA scans, with the convenience and privacy of conducting the assessment at home. Additionally, it offers users personalized video workouts and the capability to monitor and assess their progress over time.

Similar neural networks:

Free
Upvote 0
The CLIP Interrogator utilizes OpenAI's CLIP models to analyze a provided image by comparing it with a range of artists, mediums, and styles to understand how the various models perceive the image's content. Additionally, it merges these findings with a BLIP caption to propose a text prompt for generating more images akin to the one provided.
Paid
Upvote 0
ImageTranslate.AI is a sophisticated AI-driven tool that converts text in images into more than 70 languages, maintaining the original format and design. It caters to businesses, marketers, educators, and travelers who require rapid and precise language translation in visual content. Users can effortlessly upload images or submit URLs, offering a practical solution for international communication, content localization, and high-quality translations across different sectors.
Open Source
Upvote 0
Segment Anything AI (Meta) provides the Segment Anything Model (SAM), an AI tool capable of isolating any object within any image. SAM is promptable and exhibits zero-shot generalization to novel images and objects, utilizing a range of input prompts that allow seamless integration with other AI systems. It can also be trained to label images and enhance its dataset. The SAM model is crafted to be efficient and adaptable, optimizing its data engine's performance. Contributors to the project include Alexander Kirillov, Eric Mintun, Nikhila Ravi, among others. The code is accessible on GitHub, and users can subscribe to their newsletter for updates on their latest research advancements.