Train & Tag AI
Last updated
Last updated
Artificial Intelligence is not entirely artificial; it is the culmination of generations of human intelligence distilled into the technology we have today. Human beings remain at the center of the technological renaissance we experience today through innovations like blockchain and AI.
, founder & CEO of Raiinmaker, shares his thoughts on the role of humans in AI advancement: “AI’s lifeblood is the data that flows from each of us. With Raiinmaker, the focus is on how we quantify the value of each human’s contribution to training AI and be rewarded fairly.”
With Raiinmaker, you can join the AI revolution and earn rewards for your positive contributions to training AI, immortalizing your efforts in this evolving space.
Follow this step-by-step guide to learn how to build your rewards by training AI on Raiinmaker.
Download and sign up for the . Once you’ve launched the app, navigate to the “Train AI” and “Generate AI” buttons located at the bottom of the homepage.
These buttons will direct you to pages that let you train the Raiinmaker AI by uploading an image and tagging its properties or generating the AI using the pre-set models available. Most of the actual work will be done on these pages, so make sure to have fun doing it.
This button lets you upload an image and tag its necessary components. The tagging process is divided into four attributes:
Object
Description
Relationship
Action
Identify the main subject(s) within the image. This could be a person, animal, item, or any discernible entity that is the focus of the picture.
Example: In this image, the objects would be “knight,” “lady,” “sword,” “dress”, “hair,” etc.
Note: Tags on an image can be a maximum of 15 in a single image
This describes the characteristics and properties of the objects in the image. This includes color, shape, size, texture, and any distinctive features that help in identifying and differentiating the objects.
Example: A description could be “red” dragon and a “yellow” dragon
This refers to the spatial and contextual connections between the objects in the image. This covers how objects are positioned relative to each other and any interactions they may have.
Example: In this image, the relationship could be "woman standing “in front” of a dragon, dragon “behind” a woman."
This denotes the activities or movements depicted in the image. It involves what the objects (especially living beings) are doing at the moment captured in the picture.
Example: This image captures "a man “kneeling down,” and a woman “standing” over him."
These attributes collectively help in accurately training AI models by providing comprehensive details about the images, ensuring that the models understand and interpret the visual data correctly.
Using images and characters from the hit TV show , we’ll attempt to assign these attributes to images for your understanding.
After an image has been properly tagged with keywords and submitted, you have successfully contributed towards your Raiinmaker Coiin Score. You’re not just having fun tagging unique images, you’re also earning from your contributions, both daily and with every .
