About Lexset

The startup develops a real-time data generation platform that utilizes generative algorithms to create custom datasets with pixel annotations and structured spatial data. This technology enables data scientists to rapidly iterate models while ensuring improved accuracy and effective bias controls in their datasets.

```xml <problem> Training computer vision models requires large, accurately labeled datasets, which are often expensive and time-consuming to acquire, especially for specialized applications or rare scenarios. Existing datasets may also contain biases that negatively impact model performance and generalization. </problem> <solution> Lexset provides a platform for generating synthetic data to train computer vision models, offering a cost-effective and scalable alternative to traditional data collection methods. The platform allows users to create custom datasets with pixel-perfect annotations and structured spatial data, enabling rapid iteration and improved model accuracy. By controlling scene parameters and event probabilities, users can generate diverse datasets that address specific training needs and mitigate potential biases. The generated data covers various sensor modalities, including EO, IR, SAR, and thermal. </solution> <features> - Unlimited synthetic data generation with customizable scene parameters and event probabilities - Robust APIs and integrations for seamless data access and model training workflows - Simple, no-code interface for intuitive dataset creation and management - Support for importing custom 3D content and advanced camera controls - Library of tens of thousands of annotated 3D assets for diverse scene creation - Advanced lighting controls for photorealistic rendering - Ability to store and iterate on scene configurations for reproducible experiments - Tools for compositing objects into existing images with precise lighting matching - Features for creating blemishes, dents, and other imperfections to enhance data realism </features> <target_audience> Lexset targets data scientists, machine learning engineers, and computer vision researchers who need custom, high-quality training data for AI model development in industries such as security, defense, manufacturing, and tech. </target_audience> ```

What does Lexset do?

Where is Lexset located?

Lexset is based in City of New York, United States.

When was Lexset founded?

Lexset was founded in 2017.

How much funding has Lexset raised?

Lexset has raised 3790000.

Location

City of New York, United States

Founded

2017

Funding

3790000

Employees

15 employees

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Lexset

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Executive Summary

lexset.ai 700+

Crunchbase

Founded 2017 – City of New York, United States

Funding

Estimated Funding

$3M+

Team (15+)

No team information available.

Company Description

Problem

Training computer vision models requires large, accurately labeled datasets, which are often expensive and time-consuming to acquire, especially for specialized applications or rare scenarios. Existing datasets may also contain biases that negatively impact model performance and generalization.

Solution

Lexset provides a platform for generating synthetic data to train computer vision models, offering a cost-effective and scalable alternative to traditional data collection methods. The platform allows users to create custom datasets with pixel-perfect annotations and structured spatial data, enabling rapid iteration and improved model accuracy. By controlling scene parameters and event probabilities, users can generate diverse datasets that address specific training needs and mitigate potential biases. The generated data covers various sensor modalities, including EO, IR, SAR, and thermal.

Features

Unlimited synthetic data generation with customizable scene parameters and event probabilities

Robust APIs and integrations for seamless data access and model training workflows

Simple, no-code interface for intuitive dataset creation and management

Support for importing custom 3D content and advanced camera controls

Library of tens of thousands of annotated 3D assets for diverse scene creation

Advanced lighting controls for photorealistic rendering

Ability to store and iterate on scene configurations for reproducible experiments

Tools for compositing objects into existing images with precise lighting matching

Features for creating blemishes, dents, and other imperfections to enhance data realism

Target Audience

Lexset targets data scientists, machine learning engineers, and computer vision researchers who need custom, high-quality training data for AI model development in industries such as security, defense, manufacturing, and tech.