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Use case

Image classification

Automatically categorize images into predefined classes for efficient and accurate decision making using Labelbox.

Image classification

Trusted by companies of all sizes for image classification — from startups to Fortune 500s

Why use Labelbox for image classification

Accelerate AI alignment
Accelerate AI alignment

Combine model assisted labeling and human expertise to quickly prepare data for training, testing and validation.

Generate high quality datasets
Generate high quality datasets

Optimize custom labeling and review workflows to ensure the highest quality data for model training and fine-tuning.

Maintain data privacy & security
Maintain data privacy & security

Keep full ownership, transparency, and control over your data throughout the AI development process.

Boost your AI expertise
Boost your AI expertise

Supercharge your data engine with the help of Labelbox AI experts and on demand labeling services.

Building AI applications with image classification

Building AI solutions

Building AI applications with image classification

Build models that interpret and understand visual data using image classification, facilitating tasks such as object recognition, medical diagnosis, surveillance, and automation across various domains.

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Using image classification models to pre-label data

Using AI

Using image classification models to pre-label data

Use off-the-shelf or fine-tuned image classification models to pre-label images and video, and accelerate labeling of training data for your deep learning model.

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Boost your AI workforce

Boost your AI workforce

Access data labeling services with specialized image classification expertise and more to match your use cases. Collaborate with the workforce in real-time to maintain high data quality while keeping human labeling costs to a minimum using AI and automation techniques.

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Customer spotlight

Procter & Gamble (P&G) possesses vast amounts of unstructured data related to their product prototyping, testing, and manufacturing phases. This data, when refined and categorized, becomes essential for training defect detection AI models. To maintain stringent privacy and transparency standards, P&G chose Labelbox to be their data-centric AI platform because of its user-friendliness, compatibility with their existing infrastructure, and robust data security. This allowed them to engage both internal and external labelers, adapt QA processes efficiently, and accelerate model development. Consequently, Labelbox has become a pivotal enterprise-wide solution for defect detection in P&G's global business units.