Data annotation is the process of labeling or tagging data
Starting at
$
10
About this service
Summary
What's included
At the end of the project, the client will receive the following deliverables
1. Annotated Datasets Structured & Labeled Data in formats such as JSON, CSV, XML, or custom formats as required. Image Annotations (bounding boxes, segmentation masks, keypoints, etc.). Text Annotations (NER, sentiment labels, intent tags, etc.). Audio Annotations (transcripts, speaker labels, emotion tags, etc.). Video Annotations (frame-by-frame labeling, object tracking, action recognition). 2. Annotation Guidelines & Documentation Detailed annotation methodology for consistency and reproducibility. Labeling schema & taxonomy used for the dataset. Edge cases and rationale behind annotation decisions. 3. Quality Assurance Reports Inter-annotator agreement scores (to measure consistency). Error analysis & corrections log. Final accuracy & validation metrics. 4. Custom Data Format & API Integration (if applicable) Conversion to client-specific data formats. Direct API integration for seamless dataset access. 5. Project Summary & Insights Key findings from the annotation process. Recommendations for improving future datasets. Suggestions for model training optimizations.
Duration
2 days
Skills and tools
Data Entry Specialist
Data Modelling Analyst
Data Analyst
Python
scikit-learn
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