OVERVIEW
Image Tagging & Review
Leading commercial goods provider in the Northern United States
Project Details
Category: Image Tagging & Review
Date: December 2020
Clients: Commercial Goods Provider
Our Process
Assignment
Folders are assigned to the taggers for annotation
Annotation
Bounding boxes are created for various sets of materials
Classification
Material tagged is classified into different categories
Review
Validation & correction of classified data
Output
Validated data is the input for the AI Module
The Working Challenges
1
Challenges
- Multiple classification options
- Absence of central tagging & validation guideline
- Invalid output data from the AI module for the tagged images
2
Solution
- Formed a team of reviewers for quality checks and continuous process improvement
- 100% quality check recording to validate the tagging output and AI output
- Created the document and training mechanism with click level SOPs/checklist and shadow training
3
Benefit
- 100% folder review closed before the project ETA
- 99% review accuracy achieved with less than 2 days of training plan
- 10+ process improvement suggestions led to a 20% productivity improvement
- 40% direct opex saving for the client
TESTIMONIALS
What Our Clients are Saying?
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