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You will get image or video annotation and QA for bounding box or segmentation
Project details
Variety of data annotation experience from automotive, warehouse, agtech to space!
Reliable and secure US based in California Silicon Valley
Familiar with many annotation tools, in-house custom and 3rd party
Reliable and secure US based in California Silicon Valley
Familiar with many annotation tools, in-house custom and 3rd party
Machine Learning Tools
Amazon SageMaker, Google Sheets, Microsoft ExcelWhat's included
| Service Tiers |
Starter
$50
|
Standard
$75
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 14 days | 30 days |
Number of Revisions | 1 | 1 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 5 | 5 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Complex data
(+ 2 Days)
+$50
Annotation Playbook Manuals
(+ 5 Days)
+$50Frequently asked questions
About Deni
Data annotation lead, tooling enthusiast, curious pattern seeker
Fremont, United States - 9:29 pm local time
Data Annotation lead with 4+ years’' experience in the machine learning automotive, warehouse, and agriculture industries supporting a team of up to 20 data analysts, data labeling, cleaning, verification, and quality assurance. I am seeking roles involving annotation, data management, leadership, and continued learning in data science.
Steps for completing your project
After purchasing the project, send requirements so Deni can start the project.
Delivery time starts when Deni receives requirements from you.
Deni works on your project following the steps below.
Revisions may occur after the delivery date.
Introduction and review of requirements
A review of requirements to understand the annotation needs and if I am the right person for your project. This can be done over Zoom, Google, Slack, Upwork messaging etc. I am in California Pacific Standard Time.
Acceptance of work
I will review your instructions and attempt to login to your annotation platform and become familiar with your data. I will provide feedback on if I can continue with our work after seeing the data and tool.