Use case
Image Classification
Automatically categorize images into predefined classes for efficient and accurate decision making using Labelbox.
Trusted by companies of all sizes for image classification — from startups to Fortune 500s
Why use Labelbox for image classification
Accelerate AI alignment
Combine model assisted labeling and human expertise to quickly prepare data for training, testing and validation.
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
Keep full ownership, transparency, and control over your data throughout the AI development process.
Boost your AI expertise
Supercharge your data engine with the help of Labelbox AI experts and on demand labeling services.
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.
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.
Explore models for image classification
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.
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.
