Models
Color Extraction is a task in computer vision that involves the extraction and analysis of colors from images or videos. The objective of this task is to identify and isolate specific colors, or color ranges present in the visual data.
Background Removal is an image processing technique, used to separate the main object from the background of a photo. Removing the background helps highlight the product, subject, or character, bringing a professional and aesthetically pleasing look to the image.
The goal of Image to Anime was to create a new version of the image that would possess the same clean lines and evoke the characteristic feel found in anime productions, capturing the unique artistry, and aesthetics associated with this style.
Face mesh detection, also known as facial landmark detection or face pose estimation, is the task of identifying and localizing specific keypoints or landmarks on a human face. It involves detecting the positions of facial features, such as eyes, eyebrows, nose, mouth, and jawline, in an image or video.
Face detection is a computer vision technique that involves identifying and locating human faces within an image or video. The goal of face detection is to detect the presence of faces, and draw bounding boxes around them, without necessarily identifying specific facial features or landmarks.
Background Replacement is a powerful tool that enables users to easily change the background of their images, opening up endless possibilities for creative transformations, and visual enhancements.
Collections
The Image-to-Text task is an important task in the field of natural language processing and computer vision. Its purpose is to convert information within an image into readable and understandable text.
Task Text Generation is an important task in the field of natural language processing and artificial intelligence. This task aims to generate text automatically from input data, including descriptions, stories, articles, or other types of text.
Image-to-Image is an important task in the field of image processing, where we convert images from one format or data type to another.
Task Text-to-Image is an important task in the field of artificial intelligence and natural language processing. This task aims to create images from descriptions or descriptive text.
Latest
> Multilang Express Translator is a lightweight, production-ready multilingual translation API that instantly translates any input text into 5 major European languages: English, French, Spanish, German, and Italian. Powered by Helsinki-NLP’s efficient open-source models, this AI model is designed for content creators, e-commerce sellers, legal professionals, and SaaS developers who need fast, accurate translations across multiple markets.
Model for Face Anti-Spoofing Challenge
by @AIOZNetwork
Model for Spaceship Titanic Challenge
by @AIOZNetwork
Model for Movie Reviews Challenge
by @AIOZNetwork
Model for Housing Prices Challenge
by @AIOZNetwork
Fine-tuned version of BaseAlpha (a92b6157) optimized for media recommendation systems. Handles multimodal inputs (video, image, text) with 15% improved accuracy on media-specific benchmarks. Suitable for content personalization and engagement prediction.
Fine-tuned version of BaseAlpha optimized for media recommendation tasks. Supports multimodal inputs and dynamic content filtering
Serenity Unveiled: A breathtaking landscape of untouched nature, where vibrant hues of emerald green and sapphire blue converge, evoking feelings of tranquility and awe.
This repository is the implementation of Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering for the visual question answering task. Our single model achieved 70.93 (Test-standard, VQA 2.0). Moreover, in TDIUC dataset, our single model achieved 73.04 in Arithmetic MTP metric and 66.86 in Harmonic MTP metric.
Image Blending with Multiple Methods is a task that involves combining two or more images seamlessly to create a composite image using a variety of blending techniques. By leveraging multiple blending methods, such as alpha blending, gradient blending, or Laplacian pyramid blending, this task enables the merging of images while preserving the visual coherence and integrity of the final composition.
by @AIOZNetwork
Image Super-Resolution with SeemoRe is a task aimed at improving the process of image super-resolution by leveraging expertise in the field. This task involves incorporating techniques that identify and utilize expert knowledge or specialized information to enhance the efficiency and accuracy of image upscaling.
by @AIOZNetwork