You will get Exact Data Annotation, Image Labeling & Bounding boxes for Computer Vision
Rising Talent
Project details
You will get accurate, training-ready labeled data that helps your AI and computer vision models perform at their best. I provide professional data annotation and image labeling services including bounding boxes, polygons, semantic and instance segmentation, keypoint/landmark annotation, and text labeling (NER, classification). I work in industry-standard tools like CVAT, Roboflow, Labelbox, and Label Studio, and deliver in any format you need — COCO, YOLO, Pascal VOC, JSON, or CSV. Every dataset goes through a careful quality-check process to ensure consistency, precise boundaries, and correct class labels. Whether you have 100 images or a large-scale dataset, I focus on accuracy, clear communication, and on-time delivery. Your guidelines are followed exactly, and I offer revisions until you are fully satisfied. Let's turn your raw data into clean, high-quality training data.
What's included
| Service Tiers |
Starter
$15
|
Standard
$50
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
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FJ
Felix J.
Jun 4, 2026
Data Annotation Specialist and Data Labeling
Excellent data annotation service. The work was completed accurately, followed all guidelines carefully, and was delivered on time. Great attention to detail and professional communication throughout!
About Iqra
Data Annotation Expert | Data Entry Expert | Image & Video Labeling
Bahawalpur, Pakistan - 3:00 am local time
Bad training data is the #1 reason ML projects miss the accuracy targets. Mislabeled frames and skipped edge cases compound into models that fail on real-world inputs.
I am Iqra and I treat your annotation guidelines as a contract. My passion for AI is reflected in my role as a Data Annotation Specialist with hands-on CVAT experience labeling images and video for computer vision models. I deliver pixel-accurate bounding boxes, polygons, and segmentation masks that train production-ready AI not "good enough" data that breaks your model in deployment.
✅ WHAT I ANNOTATE
IMAGE ANNOTATION
— Bounding boxes, polygons & polylines
— Semantic & instance segmentation
— Object detection & classification labeling
— Landmark & keypoint annotation
— Image tagging and categorization
TEXT ANNOTATION
— Named entity recognition (NER)
— Sentiment analysis & intent labeling
— Text classification & topic tagging
AUDIO & VIDEO ANNOTATION
— Transcription and speaker diarization
— Audio event tagging & classification
— Subtitle alignment and timestampin
✅ Tools I work with daily:
CVAT • LabelBox • Label Studio • Roboflow • SuperAnnotate • V7 Labs •
Amazon SageMaker Ground Truth • Encord
✅Who I work best with:
— ML/AI startups building computer vision or NLP products
— Companies running ongoing annotation pipelines who need a reliable
long-term labeler
— Teams doing RLHF or LLM evaluation work
✅How I work:
— I start every project by reviewing your guidelines and annotating a small test batch (20-50 items) so you can verify quality before scaling
— I document edge cases as I find them and ask clarifying questions in batches — not one-by-one interruptions
→ I deliver in your preferred format with a short QA summary noting any uncertain labels for your review
— I'm available 30+ hours/week and respond to messages within a few hours during my workday.
✅What you actually get when you hire me:
— 98%+ annotation accuracy verified through QA review cycles
— Edge cases flagged and discussed — not silently guessed at
— Consistent labeling logic across large datasets
— Fast turnaround on bulk work without quality drop-off in the last 10%
Send me your annotation guidelines and a sample batch — I'll return a labeled test set within 24 hours so you can verify accuracy before committing to a larger contract.
Looking forward to helping you build training data your model can actually learn from.
Iqra Akram
Steps for completing your project
After purchasing the project, send requirements so Iqra can start the project.
Delivery time starts when Iqra receives requirements from you.
Iqra works on your project following the steps below.
Revisions may occur after the delivery date.
Review & Setup
I review your dataset, guidelines, and label classes, then confirm scope, format, and timeline with you before starting.