1. Home
  2. Data Engineering
  3. Data Annotation Services

Data Annotation Services

Model: X003
Availability :  In Stock
  • Data Annotation Services
$303.00
Current Reviews: 0 Add Your Review
QTY :

  • Enhance the performance of your Artificial Intelligence (AI) models by precisely annotating your text, image, audio and video data. Our data annotation service involves adding annotations or metadata to raw data using different annotation techniques to help AI models recognize and interpret patterns, relationships and meaning in the data. We specialize in creating high-quality AI training data to maintain accuracy and quality control throughout the model training process.
  • 1、【Image Annotation】：Our AI experts employ advanced image annotation techniques, including bounding boxes, polygon annotation, key point annotation, LiDar, semantic segmentation, semantic annotation, and image classification, for labeling general as well as industry-specific images. They deliver high-quality results by scrutinizing every pixel of an image.
  • 2、【Video Annotation】：Our expertise in video footage labeling enables us to train computer vision models in object detection and identification efficiently. We use diverse video annotation techniques, such as bounding boxes, polygon annotation, key point annotation and semantic segmentation, to cater to various industries for use cases like self-driving cars, drones and robotics.
  • 3、【Text Annotation】：Our text annotation service can be tailored for use in natural language processing and machine learning models and is valuable for tasks such as sentiment analysis, intent analysis and named entity recognition (NER). Our expert team, proficient in advanced annotation tools and techniques, can annotate large volumes of data quickly and efficiently, saving businesses time and resources.
  • 4、【Audio Transcription and Annotation】：Unlock the full potential of your audio data with our audio transcription and annotation service and leverage it for various applications, including market research and speech recognition. We first convert the audio content into a machine-readable text format which is then labeled for tasks like named entity recognition, sentiment analysis and conversation categorization.