Best AI tools for< Computer Vision Image Analysis >

LensAI is an AI-powered contextual computer vision ad solution that monetizes any visual content and fine-tunes targeting through identifying objects, logos, actions, and context and matching them with relevant ads.

LookRight.ai is an AI tool designed to provide users with a second pair of eyes for various tasks such as rating outfits, providing roasts, inspiring messages, completing looks, and writing product captions. Users can select a prompt from the list and upload a picture to receive feedback and suggestions. The tool leverages artificial intelligence to analyze images and generate responses to assist users in making decisions and enhancing their content.

EyePop.ai is an AI-powered computer vision platform designed to empower startups and development agencies across various industries. It offers a fast and easy way to integrate AI-powered vision into products or operations without the need for machine learning expertise. The platform allows users to detect, measure, or count objects in images and videos, providing accurate results and seamless deployment options. EyePop.ai also offers hands-on workshops to help users build, train, and deploy customized AI vision models quickly and efficiently.

Space-O Technologies is a top-rated Artificial Intelligence Development Company with 14+ years of expertise in AI software development, consulting services, and ML development services. They excel in deep learning, NLP, computer vision, and AutoML, serving both startups and enterprises. Using advanced tools like Python, TensorFlow, and PyTorch, they create scalable and secure AI products to optimize efficiency, drive revenue growth, and deliver sustained performance.

Getbound is an AI solutions provider that enables companies to evaluate, customize, and scale technology solutions with artificial intelligence easily and quickly. They offer services such as AI consulting, NLP solutions, MLOps, generative AI development, data engineering services, and computer vision solutions. Getbound empowers businesses to turn data into savings, automate processes, and improve overall performance through AI technologies.

The Computer Vision Foundation (CVF) is a non-profit organization dedicated to advancing the field of computer vision. CVF organizes several conferences and workshops each year, including the International Conference on Computer Vision (ICCV), the Conference on Computer Vision and Pattern Recognition (CVPR), and the Winter Conference on Applications of Computer Vision (WACV). CVF also publishes the International Journal of Computer Vision (IJCV) and the Computer Vision and Image Understanding (CVIU) journal. The CVF Open Access website provides access to the full text of all CVF-sponsored conference papers. These papers are available for free download in PDF format. The CVF Open Access website also includes links to the arXiv versions of the papers, where available.

Viso Suite is a no-code computer vision platform that enables users to build, deploy, and scale computer vision applications. It provides a comprehensive set of tools for data collection, annotation, model training, application development, and deployment. Viso Suite is trusted by leading Fortune Global companies and has been used to develop a wide range of computer vision applications, including object detection, image classification, facial recognition, and anomaly detection.

Roboflow is a platform that provides tools for building and deploying computer vision models. It offers a range of features, including data annotation, model training, and deployment. Roboflow is used by over 250,000 engineers to create datasets, train models, and deploy to production.

Clarifai is a full-stack AI developer platform that provides a range of tools and services for building and deploying AI applications. The platform includes a variety of computer vision, natural language processing, and generative AI models, as well as tools for data preparation, model training, and model deployment. Clarifai is used by a variety of businesses and organizations, including Fortune 500 companies, startups, and government agencies.

Robovision is a central platform to manage vision intelligence inside smart machines. Successfully introduce AI in dynamic environments without the need for AI experts.

SceneXplain is a cutting-edge AI tool that specializes in generating descriptive captions for images and summarizing videos. It leverages advanced artificial intelligence algorithms to analyze visual content and provide accurate and concise textual descriptions. With SceneXplain, users can easily create engaging captions for their images and obtain quick summaries of lengthy videos. The tool is designed to streamline the process of content creation and enhance the accessibility of visual media for a wide range of applications.

OpenCV is the world's largest computer vision library. It's open source, contains over 2500 algorithms and is operated by the non-profit Open Source Vision Foundation.

Fyne AI is an AI application that applies AI research in computer vision, generative AI, and machine learning to develop innovative products. The focus of the application is on automating analysis, generating insights from image and video datasets, enhancing creativity and productivity, and building prediction models. Users can subscribe to the Fyne AI newsletter to stay updated on product news and updates.

Mixpeek is a flexible vision understanding infrastructure that allows developers to analyze, search, and understand video and image content. It provides various methods such as scene embedding, face detection, audio transcription, text reading, and activity description. Mixpeek offers integration with data sources, indexing capabilities, and analysis of structured data for building AI-powered applications. The platform enables real-time synchronization, extraction, embedding, fine-tuning, and scaling of models for specific use cases. Mixpeek is designed to be seamlessly integrated into existing stacks, offering a range of integrations and easy-to-use API for developers.

Magicflow is a research and analytics platform for production-grade AI image generation. It provides tools for experimentation, data analysis, and collaboration to help users achieve optimal results for their specific use cases. Magicflow also offers production-ready APIs for image generation, CDN, monitoring, and alerting. Additionally, it includes analytics capabilities to gather feedback from users and improve results over time.

Ai Kit Finder is a website that provides a directory of AI tools and applications. The website includes a search bar that allows users to search for AI tools by category, feature, or keyword. Ai Kit Finder also provides detailed descriptions of each AI tool, including its features, advantages, and disadvantages. Additionally, the website includes a blog that provides articles on the latest AI trends and developments.

Gradio is a tool that allows users to quickly and easily create web-based interfaces for their machine learning models. With Gradio, users can share their models with others, allowing them to interact with and use the models remotely. Gradio is easy to use and can be integrated with any Python library. It can be used to create a variety of different types of interfaces, including those for image classification, natural language processing, and time series analysis.

RunwayML Experiments is a platform that allows users to create and share machine learning models. It provides a variety of tools and resources to help users get started with machine learning, including a library of pre-trained models, a visual programming interface, and a community of experts. RunwayML Experiments is used by a variety of people, including researchers, students, and hobbyists.

Valossa is an AI video analysis tool that offers a range of products for automating captions, content logging, contextual advertising, promo video clipping, sensitive content identification, and video mood analysis. It leverages multimodal AI for video, image, and audio recognition, speech-to-text, computer vision, and emotion analysis. Valossa provides customized AI solutions for video tagging, logging, and transcripts, making video workflows more efficient and productive.

Tagbox is a creative asset management tool that uses AI to organize and manage media files. It helps teams to easily find and access the assets they need, saving them time and hassle. Tagbox is used by a variety of businesses, including retailers, agencies, and event planners.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

The LandingLens Python library contains the LandingLens development library and examples that show how to integrate your app with LandingLens in a variety of scenarios. The library allows users to acquire images from different sources, run inference on computer vision models deployed in LandingLens, and provides examples in Jupyter Notebooks and Python apps for various tasks such as object detection, home automation, satellite image analysis, license plate detection, and streaming video analysis.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

Awesome Mamba is a curated collection of groundbreaking research papers and articles on Mamba Architecture, a pioneering framework in deep learning known for its selective state spaces and efficiency in processing complex data structures. The repository offers a comprehensive exploration of Mamba architecture through categorized research papers covering various domains like visual recognition, speech processing, remote sensing, video processing, activity recognition, image enhancement, medical imaging, reinforcement learning, natural language processing, 3D recognition, multi-modal understanding, time series analysis, graph neural networks, point cloud analysis, and tabular data handling.

SynapseML (previously known as MMLSpark) is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It provides simple, composable, and distributed APIs for various machine learning tasks such as text analytics, vision, anomaly detection, and more. Built on Apache Spark, SynapseML allows seamless integration of models into existing workflows. It supports training and evaluation on single-node, multi-node, and resizable clusters, enabling scalability without resource wastage. Compatible with Python, R, Scala, Java, and .NET, SynapseML abstracts over different data sources for easy experimentation. Requires Scala 2.12, Spark 3.4+, and Python 3.8+.

DeepLearning-Interview-Awesome-2024 is a repository that covers various topics related to deep learning, computer vision, big models (LLMs), autonomous driving, smart healthcare, and more. It provides a collection of interview questions with detailed explanations sourced from recent academic papers and industry developments. The repository is aimed at assisting individuals in academic research, work innovation, and job interviews. It includes six major modules covering topics such as large language models (LLMs), computer vision models, common problems in computer vision and perception algorithms, deep learning basics and frameworks, as well as specific tasks like 3D object detection, medical image segmentation, and more.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

cellseg-models.pytorch is a Python library built upon PyTorch for 2D cell/nuclei instance segmentation models. It provides multi-task encoder-decoder architectures and post-processing methods for segmenting cell/nuclei instances. The library offers high-level API to define segmentation models, open-source datasets for training, flexibility to modify model components, sliding window inference, multi-GPU inference, benchmarking utilities, regularization techniques, and example notebooks for training and finetuning models with different backbones.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

cuVS is a library that contains state-of-the-art implementations of several algorithms for running approximate nearest neighbors and clustering on the GPU. It can be used directly or through the various databases and other libraries that have integrated it. The primary goal of cuVS is to simplify the use of GPUs for vector similarity search and clustering.

The GenAI repository contains pipelines that implement image and text generation tasks. The implementation uses OpenVINO capabilities to optimize the pipelines. Each sample covers a family of models and suggests certain modifications to adapt the code to specific needs. It includes the following pipelines: 1. Benchmarking script for large language models 2. Text generation C++ samples that support most popular models like LLaMA 2 3. Stable Diffuison (with LoRA) C++ image generation pipeline 4. Latent Consistency Model (with LoRA) C++ image generation pipeline

LLM Vision is a Home Assistant integration that allows users to analyze images, videos, and camera feeds using multimodal LLMs. It supports providers such as OpenAI, Anthropic, Google Gemini, LocalAI, and Ollama. Users can input images and videos from camera entities or local files, with the option to downscale images for faster processing. The tool provides detailed instructions on setting up LLM Vision and each supported provider, along with usage examples and service call parameters.

Eden AI aims to simplify the use and deployment of AI technologies by providing a unique API that connects to all the best AI engines. With the rise of **AI as a Service** , a lot of companies provide off-the-shelf trained models that you can access directly through an API. These companies are either the tech giants (Google, Microsoft , Amazon) or other smaller, more specialized companies, and there are hundreds of them. Some of the most known are : DeepL (translation), OpenAI (text and image analysis), AssemblyAI (speech analysis). There are **hundreds of companies** doing that. We're regrouping the best ones **in one place** !

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Recent LLM (Large Language Models)-based CV and multi-modal works.

Awesome AI & Data GitHub-Repos is a curated list of essential GitHub repositories covering the AI & ML landscape. It includes resources for Natural Language Processing, Large Language Models, Computer Vision, Data Science, Machine Learning, MLOps, Data Engineering, SQL & Database, and Statistics. The repository aims to provide a comprehensive collection of projects and resources for individuals studying or working in the field of AI and data science.

Generates PyTorch code from neural network images.

Image & document analysis expert

Experto en análisis de imágenes y estructuración de datos

I parse questions and answers from images into code blocks.

Specialist in authenticating products using the latest computer vision technology by Cypheme.

Determines if images are AI-generated or real, and learns from feedback.

guess the era of the image!

Atlas Eye analyzes images to guess their location

I analyze images to accurately count people.

Identifies and explains pointed-at objects in photos.

Analyzes architectural photos for patterns from "A Pattern Language". (Click the paperclip to upload your photo.)

Upload a picture of your home wall, floor, window, driveway, roof, HVAC, and get an instant opinion.

Confirms image uploads without analysis or detail.

Professional guide in computer vision, offering clear, insightful advice.

Expert in computer vision, deep learning, ready to assist you with 3d and geometric computer vision. https://github.com/kornia/pixie

This AI is specifically for Computer Vision usage, specifically realated to PCB component identification

Describes images with bilingual titles/keywords.

Just send us an image of a scene from a video work and i will guess the name of the work!

Specialist in detailed images and facial features

Assists with biological image processing tools.