Best AI tools for< Analyze Visual Data >
20 - AI tool Sites
Custom Vision
Custom Vision is a cognitive service provided by Microsoft that offers a user-friendly platform for creating custom computer vision models. Users can easily train the models by providing labeled images, allowing them to tailor the models to their specific needs. The service simplifies the process of implementing visual intelligence into applications, making it accessible even to those without extensive machine learning expertise.
Luxi
Luxi is an AI-powered tool that enables users to automatically discover items in images. By leveraging advanced image recognition technology, Luxi can accurately identify objects within images, making it easier for users to search, categorize, and analyze visual content. With Luxi, users can streamline their image processing workflows, saving time and effort in identifying and tagging objects within large image datasets.
Grok-1.5 Vision
Grok-1.5 Vision (Grok-1.5V) is a groundbreaking multimodal AI model developed by Elon Musk's research lab, x.AI. This advanced model has the potential to revolutionize the field of artificial intelligence and shape the future of various industries. Grok-1.5V combines the capabilities of computer vision, natural language processing, and other AI techniques to provide a comprehensive understanding of the world around us. With its ability to analyze and interpret visual data, Grok-1.5V can assist in tasks such as object recognition, image classification, and scene understanding. Additionally, its natural language processing capabilities enable it to comprehend and generate human language, making it a powerful tool for communication and information retrieval. Grok-1.5V's multimodal nature sets it apart from traditional AI models, allowing it to handle complex tasks that require a combination of visual and linguistic understanding. This makes it a valuable asset for applications in fields such as healthcare, manufacturing, and customer service.
Max Planck Institute for Informatics
The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and Artificial Intelligence. The institute aims to develop innovative methods to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Artificial Intelligence, the institute lays the groundwork for advanced technologies that enhance human-computer interaction and perception of the surrounding world.
EyePop.ai
EyePop.ai is an AI application that offers effortless computer vision solutions for startups and industries. It provides self-service perception AI for streamlining visual data analysis, enabling users to build tailored AI applications regardless of their technical knowledge. The platform empowers users to unlock deep insights from images and videos, make data-driven decisions, and create custom computer vision solutions with ease. EyePop.ai aims to revolutionize the way users interact with computer vision technology by delivering AI-driven insights and enhancing user experiences.
PandasAI
PandasAI is an open-source AI tool designed for conversational data analysis. It allows users to ask questions in natural language to their enterprise data and receive real-time data insights. The tool is integrated with various data sources and offers enhanced analytics, actionable insights, detailed reports, and visual data representation. PandasAI aims to democratize data analysis for better decision-making, offering enterprise solutions for stable and scalable internal data analysis. Users can also fine-tune models, ingest universal data, structure data automatically, augment datasets, extract data from websites, and forecast trends using AI.
Vansh
Vansh is an AI tool developed by a tech enthusiast. It specializes in Vision AI and Vispark technologies. The tool offers advanced features for image recognition, object detection, and visual data analysis. With a user-friendly interface, Vansh caters to both beginners and experts in the field of artificial intelligence.
LensAI
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.
VideoInsights.ai
VideoInsights.ai is an AI-powered platform that serves as your AI assistant for media analysis. It allows users to analyze media content in real-time and gain valuable insights through lightning-fast, conversational analysis. The platform offers powerful features such as chat with videos, visual analysis, uploading and managing audio/video files, analyzing YouTube videos, and integrating analysis features via API. VideoInsights GPT provides a conversational interface to intuitively analyze audio and visual content, enhancing the overall media experience.
Supertype
Supertype is a full-cycle data science consultancy offering a range of services including computer vision, custom BI development, managed data analytics, programmatic report generation, and more. They specialize in providing tailored solutions for data analytics, business intelligence, and data engineering services. Supertype also offers services for developing custom web dashboards, computer vision research and development, PDF generation, managed analytics services, and LLM development. Their expertise extends to implementing data science in various industries such as e-commerce, mobile apps & games, and financial markets. Additionally, Supertype provides bespoke solutions for enterprises, advisory and consulting services, and an incubator platform for data scientists and engineers to work on real-world projects.
Jeda.ai
Jeda.ai is a generative AI workspace that allows users to create, visualize, and analyze data in a collaborative environment. It offers a variety of features, including AI template analysis, AI mind map diagrams, AI flowchart diagrams, AI wireframe, AI text writer, AI sticky notes, AI art, AI vision and transform, AI data analysis, AI document analysis, and AI business cases. Jeda.ai is designed to help users improve their productivity and make better decisions.
Jeda.ai
Jeda.ai is a cutting-edge AI application that offers a Visual AI Workspace for ideation and decision-making. It provides a platform for users to visualize, collaborate, and innovate using various AI tools like AI Template Analysis, AI Note Taking, AI Mind Map Diagrams, AI Flowchart Diagrams, AI Wireframe, AI Text Writer, AI Sticky Notes, AI Art, AI Vision, and Transform. The application caters to a wide range of business cases, including Leadership & Business Development, Product Management, Marketing, Sales, User Experience & Product Design, Design, Human Resources, Retrospective Analysis, Engineering, and Software Development. Jeda.ai aims to transform ideas into stunning visuals and data into strategic insights, helping users drive success and outpace their competition.
Mind-Video
Mind-Video is an AI tool that focuses on high-quality video reconstruction from brain activity. The tool bridges the gap between image and video brain decoding through a two-module pipeline, leveraging masked brain modeling, multimodal contrastive learning, spatiotemporal attention, and co-training with an augmented Stable Diffusion model. It aims to recover accurate semantic information from fMRI data, enabling the reconstruction of continuous visual experiences in the form of videos. The tool has been designed to enhance generation consistency while preserving the dynamics of the scene within one fMRI time frame.
Visionati
Visionati is an AI-powered platform that provides image captioning, descriptions, and analysis for everyone. It offers a comprehensive toolkit for visual analysis, including image captioning, intelligent tagging, and content filtering. By integrating with top AI technologies like OpenAI, Gemini, and Amazon Rekognition, Visionati delivers accurate and deep insights to help users in digital marketing, storytelling, and data analysis. The platform allows users to transform their images and videos with AI-generated captions, detailed analysis, and efficient content management. Visionati is ideal for individuals and developers looking for user-friendly visual analysis tools with seamless integration capabilities.
KNIME
KNIME is a data science platform that enables users to analyze, blend, transform, model, visualize, and deploy data science solutions without coding. It provides a range of features and advantages for business and domain experts, data experts, end users, and MLOps & IT professionals across various industries and departments.
Supersimple
Supersimple is an AI-native data analytics platform that combines a semantic data modeling layer with the ability to answer ad hoc questions, giving users reliable, consistent data to power their day-to-day work.
GPT-4o
GPT-4o is a state-of-the-art AI model developed by OpenAI, capable of processing and generating text, audio, and image outputs. It offers enhanced emotion recognition, real-time interaction, multimodal capabilities, improved accessibility, and advanced language capabilities. GPT-4o provides cost-effective and efficient AI solutions with superior vision and audio understanding. It aims to revolutionize human-computer interaction and empower users worldwide with cutting-edge AI technology.
CEBRA
CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, decoding activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages both behavioral and neural data to produce consistent and high-performance latent spaces, allowing for accurate decoding across sensory and motor tasks in various species.
Breadcrumb.ai
Breadcrumb.ai is an AI data analytics platform that allows users to combine, analyze, and interact with their data through AI agents. The platform is designed to be intuitive and user-friendly, eliminating the need for coding or data expertise. Breadcrumb's AI agents help users connect data sources, ask questions in plain language, brainstorm insights in real-time, and generate impactful data stories. The platform aims to streamline operations, accelerate sales, and drive marketing decisions by providing visual analytic canvases and instant access to critical facts.
HEAVY.AI
HEAVY.AI is a cutting-edge analytics and location intelligence platform that empowers users to make time-sensitive, high-impact decisions over vast datasets. The platform offers Conversational Analytics, enabling users to ask questions about their data in natural language and view actionable visualizations instantly. With HeavyEco, the platform also supports emergency response efforts by streamlining the management of weather events. HEAVY.AI combines interactive visual analytics, hardware-accelerated SQL, and advanced analytics & data science framework to uncover hidden opportunities and risks within enterprise datasets.
20 - Open Source AI Tools
mlp-mixer-pytorch
MLP Mixer - Pytorch is an all-MLP solution for vision tasks, developed by Google AI, implemented in Pytorch. It provides an architecture that does not require convolutions or attention mechanisms, offering an alternative approach for image and video processing. The tool is designed to handle tasks related to image classification and video recognition, utilizing multi-layer perceptrons (MLPs) for feature extraction and classification. Users can easily install the tool using pip and integrate it into their Pytorch projects to experiment with MLP-based vision models.
ai-audio-datasets
AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.
Awesome-Code-LLM
Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words,Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)
Video-MME
Video-MME is the first-ever comprehensive evaluation benchmark of Multi-modal Large Language Models (MLLMs) in Video Analysis. It assesses the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. The dataset comprises 900 videos with 256 hours and 2,700 human-annotated question-answer pairs. It distinguishes itself through features like duration variety, diversity in video types, breadth in data modalities, and quality in annotations.
ROSGPT_Vision
ROSGPT_Vision is a new robotic framework designed to command robots using only two prompts: a Visual Prompt for visual semantic features and an LLM Prompt to regulate robotic reactions. It is based on the Prompting Robotic Modalities (PRM) design pattern and is used to develop CarMate, a robotic application for monitoring driver distractions and providing real-time vocal notifications. The framework leverages state-of-the-art language models to facilitate advanced reasoning about image data and offers a unified platform for robots to perceive, interpret, and interact with visual data through natural language. LangChain is used for easy customization of prompts, and the implementation includes the CarMate application for driver monitoring and assistance.
Tools4AI
Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.
awesome-hallucination-detection
This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.
awesome-large-audio-models
This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.
mlcourse.ai
mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). The course offers a perfect balance between theory and practice, with math formulae in lectures and practical assignments including Kaggle Inclass competitions. It is currently in a self-paced mode, guiding users through 10 weeks of content covering topics from Pandas to Gradient Boosting. The course provides articles, lectures, and assignments to enhance understanding and application of machine learning concepts.
mlx-vlm
MLX-VLM is a package designed for running Vision LLMs on Mac systems using MLX. It provides a convenient way to install and utilize the package for processing large language models related to vision tasks. The tool simplifies the process of running LLMs on Mac computers, offering a seamless experience for users interested in leveraging MLX for vision-related projects.
extractor
Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.
LLM-Tool-Survey
This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.
ai_all_resources
This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.
WeChatMsg
WeChatMsg is a tool designed to help users manage and analyze their WeChat data. It aims to provide users with the ability to preserve their precious memories and create a personalized AI companion. The tool allows users to extract and export various types of data from WeChat, such as text, images, contacts, and more. Additionally, it offers features like analyzing chat data and generating visual annual reports. WeChatMsg is built on the idea of empowering users to take control of their data and foster emotional connections through technology.
genai-for-marketing
This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.
genaiscript
GenAIScript is a scripting environment designed to facilitate file ingestion, prompt development, and structured data extraction. Users can define metadata and model configurations, specify data sources, and define tasks to extract specific information. The tool provides a convenient way to analyze files and extract desired content in a structured format. It offers a user-friendly interface for working with data and automating data extraction processes, making it suitable for various data processing tasks.
dify
Dify is an open-source LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more. It allows users to quickly go from prototype to production. Key features include: 1. Workflow: Build and test powerful AI workflows on a visual canvas. 2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions. 3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features. 4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval. 5. Agent capabilities: Define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools. 6. LLMOps: Monitor and analyze application logs and performance over time. 7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs for easy integration into your own business logic.
awesome-mlops
Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.
20 - OpenAI Gpts
Stock Ratings Tracker by Trading Volatility
Specialist in analyzing Ratings data with visual insights
Product Visual GPT
An AI adept in product visuals and data, creating compelling images and documents.
Goods Guru
"Goods Guru" represents a fusion of AI technology and in text and visual content creation, aimed at boosting online sales and improving the digital footprint of e-commerce businesses.
Flowchart, MindMap, Sequential Diagram
The specific types of diagrams I can produce, such as sequence diagrams, mind maps, and flowcharts, along with the appropriate contexts for each type.
Crypto Chronicle Assistant
Writes as a crypto journalist with insights, analysis, and visuals, in UK English.
Vicky Vega
Generates Vega-Lite JSON code for Power BI visuals from data and descriptions.
Quake and Volcano Watch Iceland
Seismic and volcanic monitor with in-depth data and visuals.
Time Tracker Visualizer (See Stats from Toggl)
I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)