SiaSearch Description

We want ML engineers not to have to worry about data engineering and instead focus on what they are passionate about, building better models in a shorter time. Our product is a powerful framework which makes it 10x faster and easier for developers to explore and understand visual data at scale. Automate the creation of custom interval attributes with pre-trained extractors, or any other model. Custom attributes can be used to visualize data and analyze model performance. You can query, find rare edge cases, and curate training data across your entire data lake using custom attributes. You can easily save, modify, version, comment, and share frames, sequences, or objects with colleagues and third parties. SiaSearch is a data management platform that automatically extracts frame level, contextual metadata and uses it for data exploration, selection, and evaluation. These tasks can be automated with metadata to increase engineering productivity and eliminate the bottleneck in building industrial AI.

Pricing

Free Trial:
Yes

Integrations

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
SiaSearch
Year Founded:
2019
Headquarters:
Germany
Website:
www.siasearch.io

Media

SiaSearch Screenshot 1
Recommended Products
1Password makes it easy to store and share passwords anywhere, anytime Icon
1Password makes it easy to store and share passwords anywhere, anytime

More than a password manager.

Protect yourself, your family, or your global workforce with simple security, easy secret sharing, and actionable insight reports.
Start Today

Product Details

Platforms
SaaS
Type of Training
Documentation
Live Online
In Person
Videos
Customer Support
24/7 Live Support
Online

SiaSearch Features and Options

Computer Vision Software

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

SiaSearch User Reviews

Write a Review
  • Previous
  • Next