Zero-shot learning 6

Unified model for segmenting objects across images and videos with high precision. Meta Segment Anything Model 2 (SAM 2) is the first unified model for segmenting objects across images and videos. It allows users to select objects in any image or video frame using a click, box, or mask as input. SAM 2 is designed for fast, precise object selection and offers state-of-the-art performance for object segmentation in both images and videos. The models are open source under an Apache 2.0 license.

SAM is a promptable AI segmentation system for zero-shot generalization to objects and images. Segment Anything (SAM) is a promptable segmentation system developed by Meta AI that offers zero-shot generalization to unfamiliar objects and images without requiring additional training. It allows users to "cut out" any object in any image with a single click. SAM uses a variety of input prompts to perform a wide range of segmentation tasks. The model was trained on millions of images and masks collected through a model-in-the-loop "data engine."

Cloud-based platform for easy computer vision integration into apps. ezML is a cloud-based platform designed to simplify the integration of computer vision (CV) functionality into applications. It allows users to quickly create custom CV functionality in the cloud and seamlessly integrate it into their apps in just 30 seconds. ezML offers a simple API interface and a large library of advanced prebuilt functionality, such as image recognition, object detection, and facial analysis. It requires no training data or machine learning code, enabling users to build CV pipelines using a pipe builder and prebuilt layers.

AI-powered voice cloning, text-to-speech, and speech-to-text platform. Voicv is a cutting-edge voice cloning platform that transforms your voice into a digital asset in minutes, supporting multiple languages and zero-shot learning. It offers advanced AI-powered voice cloning, text-to-speech (TTS), and speech-to-text (ASR) services. Users can create, transform, and convert audio with cutting-edge technology, supporting multiple languages and emotions.

Build computer vision models with plain language, no code or training data needed. DirectAI enables users to build image classifiers and object detectors with only a JSON, backed by vision foundation models. Iterating on errors is easy, as classes and edge cases can be described in plain language. It allows building and deploying powerful computer vision models without code or training data, using large language models and zero-shot learning.

AI-assisted data labeling tool for fast object detection and dataset creation. T-Rex Label is an AI-assisted data labeling tool that allows users to automatically label similar objects by selecting one as a visual prompt. It aims to save 99% of labeling time and requires no installation or fine-tuning. It supports COCO and YOLO dataset labeling and can integrate with platforms like Roboflow and Labelbox for AI data training.