US-DATAData Annotation
Cabinet
Image classification is a foundational computer vision task where a neural network determines which class an image or object belongs to. US-DATA provides professional Image Classification annotation, including single-label, multi-class, multi-label, and classification with localization.
Calculate project cost
Image Classification assigns one or more predefined classes to an image based on visual features.
For example, a model may determine:
Choose one of two classes: defect / no defect, compliant / non-compliant.
Assign one class from several possible categories.
Assign multiple labels to a single image.
Organize images in multi-level class and subclass structures.
Determine class and approximate object location in the image.
We annotate classification datasets of any complexity:
Labeling errors can cause:
US-DATA uses multi-level QA, regular annotator agreement checks, and strict guidelines. We also control class balance so models learn real visual features, not majority-class shortcuts.
Different annotation types for computer vision tasks
Full data preparation cycle from raw data to model-ready output
How does US-DATA deliver the results business needs?
We pay close attention to quality. Even the most accurate model will not perform well if the data is labeled with errors.
Our team works under a unified annotation rule system based on multi-level review and consistency control. All processes are adapted to client needs and the specifics of each ML model. As a result, you get a clean dataset that can be used for training immediately, without extra rework.
We understand model requirements and class structure design
Binary, multi-class, multi-label, and hierarchical scenarios
We help find underrepresented classes and data gaps
From pilots to large enterprise datasets
Class correctness and guideline compliance checks
Data prepared in the format your model needs
Higher classification accuracy
Consistent class and label system
Fewer wrong predictions
Balanced training sets
Training-ready datasets
Stable production performance
Expandable sections with indicative cost tables.
Choose parameters and get instant estimate
* This estimate is not a public offer. Final cost is determined after technical analysis and data review.
Latest materials on data annotation and machine learning
Leave a request — US-DATA experts will review your project, help design the class structure, and propose the best dataset preparation format.
Image classification is one of the core computer vision tasks used to train neural networks and AI systems. It automatically analyzes visual features and assigns images to one or more predefined classes.
US-DATA provides image classification services for machine learning and Computer Vision: binary, multi-class, multi-label, hierarchical classification, and classification with localization.
Image classification is widely used in medicine, industry, retail, e-commerce, surveillance, agriculture, logistics, insurance, and content moderation.
If your project needs Image Classification or classification with localization for model training, US-DATA will prepare a high-quality dataset aligned with model architecture, ML pipeline requirements, and business goals.
