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Description
IriCore represents the latest evolution of IriTech’s IrisSDK, featuring significantly enhanced accuracy and faster matching speeds through a newly designed compact template format that is optimized for efficient network transmission and smart-card storage. This innovative software integrates top-tier iris-recognition algorithms that have undergone rigorous testing in NIST’s ICE and IREX evaluations while also providing support for contemporary ISO image formats. IriCore functions flawlessly, capable of reading and writing commonly used industrial image formats like BMP, JPG, JP2, and PNG. Moreover, an optional module allows it to recognize and adapt to images sourced from either IriTech cameras or third-party devices, and it includes built-in capabilities for compressing and decompressing both lossy (JPG, JP2) and lossless (PNG) image formats. It is fully compliant with ISO 19794-6 and has been pre-qualified for emerging standards, including rectilinear, cropped, and ROI-masked formats, thus ensuring a solid, future-ready SDK for comprehensive iris capture and matching solutions. Additionally, IriCore's adaptability makes it suitable for a wide array of applications, confirming its position as a leading tool in the iris recognition field.
Description
An offline tool designed for image annotation facilitates both object detection and segmentation tasks. Users can create shapes like polygons, cubic bezier curves, line segments, and individual points for precise labeling. It allows for the drawing of oriented bounding boxes specifically tailored for aerial imagery. The tool also features the ability to mark key points that can be connected by skeletons, as well as the capacity to color pixels using brushes or superpixels. It supports reading and writing in PASCAL VOC XML and YOLO text formats, ensuring compatibility with various machine learning formats. In addition, users can export their work to CreateML for object detection and image classification, as well as to COCO, Labelme, YOLO, DOTA, and CSV formats. The tool also provides options to export indexed color mask images and grayscale mask images to suit different project needs. Users can easily adjust settings related to objects, attributes, hotkeys, and fast labeling for improved efficiency. The label dialog is customizable, allowing for a seamless combination with attributes, and one-click buttons expedite the process of selecting object names. With an impressive auto-suggest feature that considers over 5000 object names, searching for objects, attributes, and image names can be done in a gallery view for convenience. Automatic labeling capabilities are powered by Core ML models, and the tool includes automatic text recognition through OCR technology. Additionally, it has functionalities to convert videos into image frames and perform image augmentation. Language support extends to English, Chinese, Korean, and 11 other languages, making it accessible to a diverse user base while enhancing productivity across different regions. This comprehensive feature set emp
API Access
Has API
API Access
Has API
Integrations
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Pricing Details
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Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Iritech, Inc.
Founded
2000
Country
United States
Website
iritech.com/iricore/
Vendor Details
Company Name
RectLabel
Country
United States
Website
rectlabel.com
