Visual Data Labeling Why it is Important for Computer Vision
Computer Vision models are incomplete without accurate visual data labeling.
Growing at a CAGR of 7.8%, the Computer Vision market has been rapidly extending and taking businesses by storm. Source:
Why visual data labeling is important for computer vision Streamlined data preprocessing Robust datasets Precision enhancement Easy-to-scale AI & ML models Continuous improvement
Streamlined Data Preprocessing
Accurate tagging / labelling Perfect feature extraction Accurate data re-scaling
Robust Dataset
Noise elimination QC-based data Quantity data
Precision Enhancement
Continuous data feeding Perfectly fitted model Zero bias
Easy-to-scale Models
Voluminous Data Labeling Context adjustability Execution consistency
Continuous Improvement
Constant data addition Model retraining Statistical refinement
Hitech BPO accurately annotated thousands of images to be used as training dataset for Computer Vision models of a Swiss food waste assessment solution provider. Company • Swiss food waste assessment company
Business need • Label thousands of food waste images • Build a high-accuracy computer vision model
Hitech BPO’s visual data labeling solution • Iterative labeling and segmentation • Real time visual labeling intelligence
Business impact • 100% accuracy across categories • Seamless computer vision modeling efficiency Click here to read the full case study
Build scalable computer vision models using Hitech BPO’s high-grade visual data labeling.
Connect with us, today!
www.hitechbpo.com info@hitechbpo.com
Copyright © 2022 Hitech BPO. All rights reserved.