You will get image annotation: bounding boxes, segmentation, keypoints
Project details
I'll annotate your images for computer-vision training — accurately,
consistently, and ready to train on.
I have 5+ years in AI/ML data training across CCTV/surveillance and agricultural
datasets, so I understand how annotation accuracy affects model performance. I
work in CVAT and handle bounding boxes, polygon and instance segmentation,
keypoints, and polylines.
How I work:
• I label to a written guideline, so classes stay consistent across the whole
dataset.
• I run a QA pass on every batch before delivery, so errors don't reach your
model.
• I deliver in your format: COCO, YOLO, Pascal VOC, JSON, or a custom schema.
Before ordering, message me with a sample of your images and your label spec so
I can confirm scope and the right package. Dense or fine-grained datasets (e.g.
tiny agricultural objects) are quoted custom, since a single image can take
much longer to label well.
consistently, and ready to train on.
I have 5+ years in AI/ML data training across CCTV/surveillance and agricultural
datasets, so I understand how annotation accuracy affects model performance. I
work in CVAT and handle bounding boxes, polygon and instance segmentation,
keypoints, and polylines.
How I work:
• I label to a written guideline, so classes stay consistent across the whole
dataset.
• I run a QA pass on every batch before delivery, so errors don't reach your
model.
• I deliver in your format: COCO, YOLO, Pascal VOC, JSON, or a custom schema.
Before ordering, message me with a sample of your images and your label spec so
I can confirm scope and the right package. Dense or fine-grained datasets (e.g.
tiny agricultural objects) are quoted custom, since a single image can take
much longer to label well.
Machine Learning Tools
OpenCV, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$25
|
Standard
$80
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Menaga
Image Annotation Specialist | Bounding Box, Segmentation, Keypoints
Watford, United Kingdom - 4:23 pm local time
training. I've worked hands-on with CCTV/surveillance and agricultural datasets,
so I understand exactly how annotation accuracy affects model performance — and
I label with that precision in mind.
My main areas of expertise are:
- Annotation types: bounding boxes, polygon & instance segmentation, semantic
segmentation, keypoints, polylines
- Tools: CVAT, Label Studio
- Domains: Specialized in CCTV/surveillance, agricultural imagery and medical. Open to all the domains
- Output formats: COCO, YOLO, Pascal VOC, JSON or custom schemas(Delivered as per your preference)
- Quality: written labeling guidelines, per-batch QA, consistency across large
datasets
Most annotators click fast and label inconsistently. I treat your labels like
your model depends on them — because it does. I also bring 10+ years as a
professional writer, so I follow detailed specs precisely and communicate clearly.
I'm new to Upwork, so before you commit, I'll annotate a free sample so you can
check the quality yourself.
A 10-20 images for standard datasets, or a small-
section of one image for highly detailed sets like dense agricultural imagery.
Please reach out and let's discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Menaga can start the project.
Delivery time starts when Menaga receives requirements from you.
Menaga works on your project following the steps below.
Revisions may occur after the delivery date.
Review your images and label spec; confirm scope and classes.
Annotate to a written guideline — bounding boxes, polygons, or keypoints.