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What is ImgLab?

ImgLab is a free tool designed to simplify the image annotation process for machine learning and artificial intelligence projects. With its intuitive interface, users can annotate images using different types of metadata such as bounding boxes, points, lines, and polygons to emphasize specific features or objects within the images. It supports multiple annotation formats, including COCO, Pascal VOC, and YOLO, ensuring that it works seamlessly with various machine learning models and platforms. Furthermore, ImgLab is capable of managing large image datasets, making it especially useful for addressing complex challenges in machine learning. This range of functionalities makes ImgLab an essential asset for both researchers and developers working in the AI sector. As the demand for effective image annotation tools continues to grow, ImgLab stands out as a reliable choice for enhancing productivity in AI-related tasks.

What is Hive Data?

Create training datasets for computer vision models through our all-encompassing management solution, as we recognize that the effectiveness of data labeling is vital for developing successful deep learning applications. Our goal is to position ourselves as the leading data labeling platform within the industry, allowing enterprises to harness the full capabilities of AI technology. To facilitate better organization, categorize your media assets into clear segments. Use one or several bounding boxes to highlight specific areas of interest, thereby improving detection precision. Apply bounding boxes with greater accuracy for more thorough annotations and provide exact measurements of width, depth, and height for a variety of objects. Ensure that every pixel in an image is classified for detailed analysis, and identify individual points to capture particular details within the visuals. Annotate straight lines to aid in geometric evaluations and assess critical characteristics such as yaw, pitch, and roll for relevant items. Monitor timestamps in both video and audio materials for effective synchronization. Furthermore, include annotations of freeform lines in images to represent intricate shapes and designs, thus enriching the quality of your data labeling initiatives. By prioritizing these strategies, you'll enhance the overall effectiveness and usability of your annotated datasets.

Media

Media

Integrations Supported

Integrations Supported

Apache Atlas
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Wyn Enterprise
bipp

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$25 per 1,000 annotations

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

ImgLab

Company Website

imglab.in/

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/data-labeling

Categories and Features

Image Annotation

Not specified

Categories and Features

AI Vision Models

Not specified

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Data Annotation

Not specified

Data Labeling

Labeling Automation
Labeling Quality
SDK
Supports Audio Files
Team Collaboration

Image Annotation

Not specified

Image Recognition

Not specified

Video Annotation

Not specified

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