BUNCH deploys teams of experienced annotators ready to tackle volumes of Bounding Box annotation tasks.
Our teams recognize, detect and locate objects in your image sets using Bounding Boxes (or “bbox”) with pixel-perfect accuracy. Human-powered recognition is widely used for image classification purposes in Machine Learning (ML) programs.
Our experienced annotators detect and label cars, pedestrians, traffic signs, lanes, obstacles, and all kinds of vehicles in the self-driving vehicle industry, as well as in healthcare, solar energy, manufacturing, entertainment, and Adtech, to name a few.
Annotation quality is guaranteed, from compliance of your annotation guidelines to pixel-perfect accuracy of the bounding boxes—every pixel and label counts.
Our in-house specialists currently handle millions of annotations per month and we are ready to take projects of large scale.
Receive instant response, feedback and support from our dedicated 24/5 account management team
Get a custom plan with elastic pricing models that fit your annotation project volume, quality and urgency
Our elastic workforce allows you to scale up from thousands to millions of images in hours
Continuous training and rigorous QA complemented by double-pass techniques secure the highest accuracy
Our fully managed in-house annotation teams enable pixel-perfect accuracy and full compliance with your guidelines
We will annotate a sample of your images and come back to you with proposed productivity estimates and quality thresholds
Our exposure to different dashboards enables us to handle high-volume and multi-user annotation at exceptional efficiency standards
We permanently delete your datasets upon completion of milestones. Our in-house team is under strict NDA to protect your business confidentiality.xxx
We meet international compliance standards for data handling and processing, security, confidentiality, and privacy
We set full-time teams and work on one-time projects of all sizes.