Segmentation

Get precise pixel-level understanding of images. Segmentation identifies exactly which pixels belong to which objects or regions, enabling precise measurements and detailed analysis.

What is Segmentation?

Segmentation divides images into regions or identifies which pixels belong to which objects. Unlike bounding boxes (which are rectangular), segmentation provides precise boundaries that follow object shapes exactly.

Instance Segmentation

Find and outline each individual object separately. Count every person in a crowd, identify each product on a shelf, or track individual items in complex scenes.

Semantic Segmentation

Understand what type of thing each pixel is. Identify road vs sidewalk vs building, product vs background, or any other pixel-level categorization.

Precise Boundaries

Get exact object boundaries instead of rectangular boxes. Measure areas accurately, identify precise defect locations, and understand object shapes in detail.

Common Use Cases

Area Measurement

Measure areas precisely by segmenting regions. Calculate floor space, measure land areas, or determine coverage for materials or treatments.

Defect Mapping

Map defects precisely on products. Identify exact defect locations, measure defect sizes, and track defect patterns over time.

Land Analysis

Analyze land use and coverage. Segment different land types, measure agricultural areas, or identify vegetation coverage.

Object Boundaries

Identify precise object boundaries for detailed analysis. Get exact shapes for products, people, or any objects in images.

Medical Imaging

Segment medical images for analysis. Identify organs, lesions, or anatomical structures with precise boundaries.

Quality Control

Use segmentation for precise quality control. Identify defect regions, measure defect areas, and assess product quality in detail.

Training Segmentation Models

Train custom segmentation models for your specific use cases.

Data Collection

Collect images that represent your segmentation needs. Include diverse examples with various object types, lighting conditions, and backgrounds.

Labeling

Label images with polygons or masks that define object boundaries. Draw precise boundaries around objects or regions you want to segment.

Model Training

Train segmentation models using specialized architectures. Models learn to identify pixel-level boundaries and regions.

Model Evaluation

Evaluate models using IoU (Intersection over Union) and pixel accuracy metrics. Test on validation data to ensure precise segmentation.

Segmentation Templates

Use pre-built templates to quickly get started with common segmentation tasks.

Area Measurement Template

Template for measuring areas by segmenting regions. Includes labeling guidelines for area measurement use cases.

Defect Mapping Template

Template for mapping defects on products. Includes guidelines for precise defect identification and measurement.

Land Analysis Template

Template for analyzing land use and coverage. Includes categories for different land types and vegetation.

Object Boundaries Template

Template for identifying precise object boundaries. Customize for your specific object types and use cases.

Getting Started

Ready to start segmenting images with precise boundaries?