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You will get a polygon annotation for waste segregation

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Project details

This project aims to train a machine-learning model to classify solid waste into two main categories: Plastics and Nonplastics. The annotated data will help the model recognize and differentiate between plastic and nonplastic waste items in various environments.
AI Development Type
Deep Learning, Model Tuning
What's included
Service Tiers Starter
$200
Standard
$300
Advanced
$400
Delivery Time 15 days 10 days 5 days
Number of Revisions
222
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Fast Delivery
+$100 - $200
5.0
11 reviews
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Emmanuel Acquah A.Status: Offline

About Emmanuel Acquah

Emmanuel Acquah A.Status: Offline
Quality Assurance lead for data annotation/label/entry
100% Job Success
5.0  (11 reviews)
Tema, Ghana - 3:06 am local time
I am a Quality Assurance Lead, specializing in Artificial Intelligence. My enthusiasm for AI is evident in my role as a Quality Assurance Lead for Data Annotation Specialists, where I excel in using advanced tools like polygon, bounding box, keypoint, polyline, brush, cuboid, and ellipse. With extensive experience in annotating both images and videos, I consistently deliver precise and high-quality results.

My skills also include Audio Transcription, Named Entity Recognition (NER), Text Classification, Sentiment Analysis, Search Relevance, Data/Content Moderation, and more. I am proficient with various platforms, including:

- Label Studio
- Computer Vision Annotation Tool (CVAT)
- Lucy Analytics
- V7 Darwin
- Roboflow
- Labelbox
- Alegion
- DataLoop
- Loft2
- Datasaur
- VGG Image Annotator

I am dedicated to delivering exceptional work in these areas and am confident in my ability to meet and exceed expectations. If you have a project in any of these domains, you can count on me for outstanding results.

Steps for completing your project

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Delivery time starts when Emmanuel Acquah receives requirements from you.

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Revisions may occur after the delivery date.

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