
Image Classification
Apply nested and higher order classes to an entire image.
- Self-driving cars
- Traffic surveillance
- Visual content moderation
Encord's collaborative image labeling platform helps you automate image annotation with AI-assisted labeling, build active learning pipelines, and streamline labeling operations to get your models to production faster.
Trusted by leading computer vision teams
Encord is designed to handle advanced image labeling projects and help you manage dataset quality and annotation teams, and the only tool you need for efficient image labeling to build active learning pipelines for computer vision models.
Encord provides a single platform for all your image annotation needs, alleviating the need for building & maintaining expensive in-house tooling and infrastructure. Our platform supports:
... and much more!
Encord’s collaborative annotator and data management dashboards make it much easier to scale large image annotation teams, whether in-house or outsourced.
You can automatically assign annotation tasks, monitor annotators’ performance and set up custom quality control pipelines.
Automated image labeling can help you reduce the time your annotators spend annotating images.
Encord’s API & Python SDK helps you import model predictions. Our proprietary micro-models can also be used to pre-label images so that your annotators only need to review the annotated data.
Encord's tools support image annotation for a variety of industries such as healthcare, government, and computer vision.
Apply nested and higher order classes to an entire image.
Recognise and localise objects with vector labeling tools.
Assign a class to each pixel of an image with segmentation masks.
The Division of Nephrology reduced experiment duration by 80% while processing 3x more images.
Encord offers the industry’s most advanced labeling ontology. You can create as many nested feature types as you need to ensure your image annotation datasets provide the best ground truth for your computer vision models.
No matter how complex the image being labeled, our ontology can support the vision for your machine learning model.
Encord is the ideal platform for creating active learning pipelines, improving the efficiency of your projects and accelerating the development of your models.
Using Encord’s SDK and API, you can directly access projects, datasets and labels within the platform and automate annotation workflows and key features such as automated image annotation, training and inference.
Use Encord to identify the errors, biases and imbalances in your image annotation datasets.
Put in place granular QA workflows to ensure images are reviewed at the right level of accuracy for your use case.