Remove objects/people from photos using AI detection technology
Remove watermarks, text, logos from images
Restore old photos by removing scratches, spots, and tears
Change the sky background in photos
Enhance and beautify photos by removing acne, wrinkles, and skin defects
Best 332 AI Image Recognition Tools in 2024
Lenso.ai, Vectorizer AI, CapMonster Cloud, Nanonets, PlantIn plant care identifier, How Old Do I Look?, AI or Not, AI Headshot Generator, Visage Technologies, Asseter.AI are the best paid / free AI Image Recognition tools.
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Realistic AI avatars, natural text-to-speech, and powerful AI video editing capabilities all in one platform.
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CapMonster Cloud is an AI-powered CAPTCHA-solving service designed to automate the process of solving various types of CAPTCHAs, including reCAPTCHA, hCaptcha, and others.
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Nanonets is an AI platform that automates processes and extracts actionable insights from unstructured data.
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43.29% 0
Your go-to solution for quick plant identification, diagnosis with expert care advice.
181.7K
69.34% 20
Premier NSFW AI Chatbot Platform with Unrestricted Interactive Experience
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34.8K
17.76% 1
Imagga is an API that offers image recognition solutions for tagging, categorization, search, and moderation.
34.8K
17.76% 0
Image recognition API for tagging, categorization, and face recognition
6.6K
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Facial recognition technology for secure digital identities
5.2K
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IoT platform service for linking events and data with deep learning inference.
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62.19% 1
Loti helps people protect their privacy by identifying and removing non-consensual intimate content.
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36.67% 4
OLOCR provides unlimited OCR for images and PDFs, allowing users to extract text easily.
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100.00% 0
Intuitive navigation for visually impaired using spatial audio, LiDAR, AR, and AI.
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100.00% 0
AI-powered floor plan recognition for blueprints and hand-sketches.
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1
A tool that automates search and filtering in visual datasets, reducing costs by 10x.
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4
ChainAware.ai is an AI-based crypto wallet auditor that uses artificial intelligence to verify addresses and detect fraud.
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0
GreenEyes.AI develops sustainable Computer Vision APIs and SaaS products for a better world.
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24.06% 2
Platform for creating vision AI through custom data set and iterative training.
53 users
0
Empower web interaction with speech and motion
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7
Convert handwritten notes into digital tasks and access pre-made checklists. Stay organized and productive with Papper.
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What is AI Image Recognition?
AI Image Recognition, also known as Computer Vision, refers to the ability of Artificial Intelligence to analyze and recognize images. The AI system is trained with a large number of image data and can accurately identify objects, animals, people, and even emotions in the image.
AI Image Recognition Insights
United States
Traffic
2.8M
India
Traffic
918.8K
Vietnam
Traffic
816.8K
Russia
Traffic
724.8K
Average
Traffic
184.4K
332 Tools
AI Image Recognition already has over 332 AI tools.
8.4M Total Monthly Visitors
AI Image Recognition already boasts over 8.4M user visits per month.
6 tools traffic more than 1M
AI Image Recognition already exists at least 6 AI tools with more than one million monthly user visits.
What is the top 10 AI tools for AI Image Recognition?
Core Features
|
Price
|
How to use
| |
|---|---|---|---|
SnapEdit.App | To use SnapEdit.App, simply upload your photo or drag and drop it into the 'Upload Photo' frame. Then you can select the desired editing feature, such as removing objects from the photo or erasing watermarks/text. The AI technology will automatically detect objects in the image, and you can adjust and preview the edits before downloading or sharing the final image. | ||
Lenso.ai | AI-powered reverse image search | Using Lenso.ai is simple. Users can drop an image on the website and select the specific area of interest. They can then choose from a variety of categories such as places, people, duplicates, related, and similar images to initiate the reverse image search. | |
Vectorizer AI | AI-based conversion of PNG and JPG images to scalable SVG vectors | To convert images to SVG vectors, simply pick a bitmap image, such as a JPEG or PNG, and drag and drop it onto the platform. The AI analyzes, processes, and converts the image into geometric shapes. Users can then inspect an interactive preview of the result and download it in their preferred format. | |
Roboflow | Platform Universe | With just a few dozen example images, you can train a working, state-of-the-art computer vision model in less than 24 hours. | |
Pl@ntNet | Plant identification through pictures | To use Pl@ntNet, simply take a picture of a plant and the app will identify it for you. You can also contribute to the project by submitting plant observations and contributing to collaborative reviews. | |
CapMonster Cloud | Captcha solving | To use CapMonster Cloud, create an Accoun and obtain your API key. Then, integrate the API or use the browser extensions for Chrome or Firefox. | |
Nanonets | Seamless Ingestion: Import files from popular sources like Gmail, Dropbox, Drive, SharePoint, and more | How to Use Nanonets? Using Nanonets is simple and efficient. Follow these steps: 1. Seamless Ingestion: Import files from popular sources like Gmail, Dropbox, Drive, SharePoint, and more. 2. Intelligent Extraction: Utilize Nanonets' advanced AI engine to accurately extract data without relying on predefined templates. 3. Data Enrichment: Enhance the extracted data to unlock its full potential and gain actionable insights. 4. Smart Decision Engines: Leverage decision engines to efficiently review, flag, and validate files, streamlining your workflow. 5. Flexible Export Options: Seamlessly export data directly to your CRM, WMS, or database, or choose from XLS, CSV, or XML formats for offline use. | |
Scale AI | The core features of Scale AI include high quality training data, an experienced team of experts for data labeling and annotation, a user-friendly platform interface, and scalability to cater to the needs of various AI applications. | To use Scale AI, companies can access their platform and upload their data to be labeled and annotated by their team of experts. The platform offers a user-friendly interface to streamline the data labeling process. | |
PlantIn plant care identifier | Precise AI-based plant identification. | Download the mobile application or use the website for your day-to-day plant care tasks. Simply snap a photo of your plant and let the AI technology identify it for you. Use the app to track your watering schedules and monitor plant health. | |
Pixellot | AI sports camera | Automatically live-stream every game from your venue directly to fans, families and coaches. No staff needed! |
Newest AI Image Recognition AI Websites
Simple food logger and calorie counter using AI technology.
AI Image Recognition
AI Advertising Assistant
AI recipe generator based on fridge contents.
AI Cooking Assistant
AI Recipe Assistant
AI Image Recognition
AI Image Recognition Core Features
Object Detection
Identify objects within an image.
Face Recognition
Recognize and identify individual faces based on unique facial features.
Image Classification
Sort images into different categories based on their content.
Semantic Segmentation
Identify each pixel in an image and classify it into a certain category.
Who is suitable to use AI Image Recognition?
AI Image Recognition is suitable for a variety of industries and users. Tech companies can use it for developing smart applications, retailers can use it for visual product searches, and security agencies can use it for surveillance purposes. It is also useful for healthcare providers for medical imaging analysis, and in agriculture for crop monitoring.
How does AI Image Recognition work?
AI Image Recognition works through machine learning models such as Neural Networks. These models are trained on a huge amount of image data. The system learns to recognize patterns and features in this data. When new images are inputted, the system can match them with the learned patterns and accurately recognize and categorize the contents of the images.
Advantages of AI Image Recognition
AI Image Recognition can process and analyze images at a speed and accuracy that human beings cannot achieve. It can automate processes like object detection, facial recognition, and image categorization, which can save time and resources. It also has the ability to operate 24/7 without fatigue, and can perform complex tasks like semantic segmentation.
FAQ about AI Image Recognition
- Is AI Image Recognition always 100% accurate?
- Can AI Image Recognition infringe on privacy?
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