Computer Vision AI Automatic Image Tags
Frequent Questions
Upload a photo or take a picture to demonstrate the capabilities of asticaVision for sorting images and generating a list of tags and categories for any image.
asticaVision - Computer Vision AI
asticaVision - Image Describing AI
This is a public preview of the asticaVision API. The image describing utility is intended to demonstrate the capabilities of the computer vision model.
It is capable of handling a variety of tasks including facial recognition, object detection and text recognition (OCR).
Note that the computer vision demo is available online for public access and as such it can experience additional delays and interruption unique from the developer API.
Vision AI - Model Version 2.5_full
asticaVision - Image Describing AI
The Web UI has been updated to demonstrate upcoming asticaVision model 2.5_full which provides complete backwards compatibility.
New Capabilities:
- Detect custom objects by supplying a list of keywords. Used to add additional context to Vision Chat AI, or to export bounding boxes for training custom vision models.
- Number of generated image tags has been increased.
- Increased consistency and accuracy of image descriptions.
- Incorporated OCR text recognition into image description for improved accuracy and WCAG compatible ALT tagging.
- Additional image captions now include bounding boxes associated to point of interest.
- Object detection improved to recognize a wider range of items and with greater accuracy.
- Ability to detect the colors of specific objects including custom objects (e.g. "red car")
Additional changes to the Web UI include:
- Increased supported file-size of the Web UI from 2.5MB to 10MB.
- Free cloud storage of image results for viewing from any device.
- Support for additonal image formats including jiff and bmp.
- Improved CSV and JSON exporting includes custom object annotations.
- Improved networking and response time of image description results.
- It is no longer necessary to keep the web page open while processing a large number of images or directories after uploading is completed.
The previous version of the Web UI will remain online. Previous image submissions are stored locally on your device and can be accessed by using the legacy version.
Use the Old Version:
Go to Legacy 2.0 Web UIPoint of Interest
asticaVision - Interactive Conversation
Refresh Chat Tokens
The interactive image conversation function is available for preview purposes. Chat tokens will be used for each message sent. Please get in touch if you require additional chat tokens during experimental preview.
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Click to add a photo to astica Vision AI
Click to Upload an Image
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Preparing Image Data
| Preparing Image: | 0 of 0 |
| Payload Size: | 0 B 0 B |
| Upload Progress: | 0% |
Hide Upload Progress
This is a public demonstration of the asticaVision, an API that provides developers with the ability to incorporate computer vision into their projects and enables new possibilities.
View DocumentationThe immense amount of images uploaded and shared on the internet presents a challenge for effective organization and moderation. A significant solution to this challenge is the use of computer vision to automatically tag and categorize images. Implementing computer vision technology allows for efficient content moderation, enabling users to easily search, filter, and navigate through large volumes of visual data.
Computer vision is a potential solution, by leveraging deep learning algorithms, computer vision models can automatically recognize objects, scenes, and patterns within images, and subsequently assign relevant tags and categories. This technology significantly reduces the time and effort required for manual tagging, while also enhancing the accuracy and consistency of categorizations.
Integrating computer vision into image moderation systems greatly benefits various industries and applications. For instance, online marketplaces can automatically categorize product images, making it simpler for customers to find what they are looking for. Social media platforms can harness the potential of computer vision to flag and remove inappropriate content, fostering a safe online environment. In fields like research and journalism, computer vision models can help identify relevant images within massive datasets, substantially accelerating information discovery.
Try the online demonstration of asticaVision to discover the full potential of computer vision technology in accurately tagging and categorizing images, and experience the remarkable benefits it presents in transforming the way we interact with visual content online.
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