You will get Image annotations, Image Segmentation, Data Labeling AI Machine Learning
Top Rated
Top Rated
Project details
Please message me if you have any questions.
I am an image annotation expert with extensive experience in applications, particularly the tool CVAT, Photoshop, 3D Slicer, GIMP, Labelme, Hasty.ai, Image annotation lab, Mechanical Turk, VGG, Vott, Roboflow, Prodigy, labellmg, Supervisely, Labelbox, Superannotate. My background includes working on a wide range of projects involving the annotation of images and video data for machine learning and computer vision purposes.
With a solid understanding of various annotation techniques such as bounding boxes, polygon segmentation, and keypoint detection, I ensure high-quality data preparation that meets the specific requirements of each project.
I pride myself on my attention to detail and my ability to maintain consistency across large datasets, which is crucial for training robust AI models. My knowledge of data privacy and ethical considerations further ensures that project requirements are met while adhering to best practices.
I am passionate about contributing to innovative projects that utilize deep learning and computer vision technologies, and I always seek to stay updated on the latest advancements in the field.
I am an image annotation expert with extensive experience in applications, particularly the tool CVAT, Photoshop, 3D Slicer, GIMP, Labelme, Hasty.ai, Image annotation lab, Mechanical Turk, VGG, Vott, Roboflow, Prodigy, labellmg, Supervisely, Labelbox, Superannotate. My background includes working on a wide range of projects involving the annotation of images and video data for machine learning and computer vision purposes.
With a solid understanding of various annotation techniques such as bounding boxes, polygon segmentation, and keypoint detection, I ensure high-quality data preparation that meets the specific requirements of each project.
I pride myself on my attention to detail and my ability to maintain consistency across large datasets, which is crucial for training robust AI models. My knowledge of data privacy and ethical considerations further ensures that project requirements are met while adhering to best practices.
I am passionate about contributing to innovative projects that utilize deep learning and computer vision technologies, and I always seek to stay updated on the latest advancements in the field.
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Error Detection, Online Research, Word ProcessingData Entry Tool
Google Docs, Google Sheets, Medical Records Software, Microsoft Excel, Microsoft Office, Microsoft WordWhat's included
| Service Tiers |
Starter
$32
|
Standard
$80
|
Advanced
$160
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 3 | 4 | 5 |
Number of Hours of Work | 4 | 10 | 20 |
Formatting & Clean Up | - | - | - |
Graph & Table Creation | - | - | - |
About Sarrah Joy
Image Annotation | Data Annotation | Medical Annotation | Segmentation
100%
Job Success
Moncada, Philippines - 1:53 pm local time
I am enthusiastic about the opportunity to contribute my skills and grow within a dynamic team.
Applications used: CVAT, Photoshop, 3D Slicer, GIMP, Labelme, Hasty.ai, Image annotation lab, Mechanical Turk, VGG, Vott, Roboflow, Prodigy, labellmg, Supervisely, Labelbox, Md.ai etc.
I can also do Photography and editing pictures using different editing applications like Adobe Lightroom, Photoshop, Photopea, gimp, and Snapseed.
Personal Qualities:
- A reliable, hardworking, and highly motivated individual with a proven ability to work independently and as part of a team.
- Eager to learn and explore new concepts and technologies.
- Proficient in both spoken and written English.
Steps for completing your project
After purchasing the project, send requirements so Sarrah Joy can start the project.
Delivery time starts when Sarrah Joy receives requirements from you.
Sarrah Joy works on your project following the steps below.
Revisions may occur after the delivery date.
Mesage me and provide a details on the specific project requirement.
what is the Annotation format required? (for example YOLO, Pascal VOC, MS COCO)