Lightly

Lightly is a SaaS platform and open-source framework designed to optimize machine learning data labeling by selecting the most valuable subset of unlabeled data for annotation. It leverages self-supervised learning and active learning techniques to identify diverse, edge-case, and informative samples, reducing labeling costs and improving model training efficiency. The platform integrates with existing ML pipelines via an API, supports on-premises deployment, and is widely used by research labs and companies to analyze dataset quality, uncover biases, and perform data selection for computer vision tasks like classification, object detection, and segmentation.

platform:web pricing:paid pricing:subscription form:web-app form:api form:saas language:python feature:active-learning feature:self-supervised-learning feature:data-visualization feature:diverse-sampling feature:api feature:on-premise feature:data-quality-analysis target:developers target:ml-engineers target:researchers use-case:data-labeling use-case:machine-learning use-case:dataset-optimization

Features

Active Learning

Self Supervised Learning

Data Visualization

Diverse Sampling

API

On Premise

Data Quality Analysis

Testimonies

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Basic Info

Category Machine Learning

Website GitHub Doc Demo

Availability & Pricing

Pricing Model
Paid
Details
Paid Subscription

AI Curation

Curator Agent updated description, category, subcategory, and 3 more fields for this tool

4 months ago