Computer Vision AI Object Detection
Frequent Questions
This tool demonstrates the object detection capability found within the asticaVision API. It is capable of detecting objects accurately, and approximating brands or species. Take a photo or upload a picture to try it online.
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% |
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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 ability to detect and recognize objects is a crucial aspect of computer vision. It enables machines to understand the content of images and videos, classify objects based on their characteristics, and make informed decisions. This capability has numerous practical applications that span a wide range of industries, from retail and healthcare to agriculture and manufacturing.
One prime example of computer vision's impact is in the field of autonomous vehicles. Self-driving cars rely on object detection and recognition to navigate roads safely and efficiently. They must accurately identify other vehicles, pedestrians, and obstacles to make split-second decisions that protect both occupants and other road users.
In retail, computer vision is being used to streamline checkout processes by automatically identifying products and their prices, making the shopping experience more seamless and reducing waiting times. Object detection and recognition can also be helpful in inventory management, enabling businesses to automate tasks such as monitoring stock levels and tracking misplaced items.
In the world of security and surveillance, computer vision has proven to be invaluable for detecting and recognizing objects in real-time. Video analytics software can monitor live video feeds to identify potential threats, flag unattended packages, or track suspicious behavior. This advanced technology significantly reduces the workload on security personnel while increasing the accuracy and efficiency of threat detection.
In the sports industry, computer vision can analyze players' movements, detect equipment, and measure the performance of athletes during training sessions or competitions. Coaches and advisors can leverage these insights to develop custom strategies, optimize player techniques, or monitor potential injuries. Object detection can also be used as a reference to help with making accurate judgments by instantaneously recognizing occurrences like a goal in football or a boundary in cricket.
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