You will get Image, Video & Text annotation, Data Labeling, Segmentation
You will get Image, Video & Text annotation, Data Labeling, Segmentation
Small Dataset
1500 bounding boxes or 150 polygons
- Delivery Time 1 day
- Number of Pages Mined/Scraped 3
- Number of Sources Mined/Scraped 1
- Number of Revisions 1
1 day
delivery —
Oct 11, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Md Rakib gets paid once you are satisfied with the work.
Project details
I am a Deep Learning Engineer having experience of more than 2 years. Have been doing a lot of projects on Object Detection, Image Segmentation, etc. I have strong experience with LabelImg, Darklabel, and my previous client's custom tools for image, video annotations. Moreover, I will provide you with converted XML to CSV file, and TF record if you want to train this project using Tensorflow.
Contact me for more information
Contact me for more information
Data Tool
PythonWhat's included
Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$100
|
---|---|---|---|
Delivery Time | 1 day | 2 days | 5 days |
Number of Pages Mined/Scraped | 3 | 10 | 50 |
Number of Sources Mined/Scraped | 1 | 2 | 10 |
Number of Revisions | 1 | 2 | 3 |
20 reviews
(16)
(1)
(3)
(0)
(0)
PU
Prasad U.
Apr 11, 2021
MC
Mark C.
Jul 23, 2024
Labeling of AI generated image
Started the project, but then just vanished and left me hanging for 3 days, when I had made it really clear I was depending on him to do a certain amount of work each day, because other people or processes farther down the line, were dependent on the work he output. Hew broke the chain, and left me scrambling to refill his position at the last minute and having to pay higher rates for emergency help.
SS
Subramani S.
Apr 8, 2024
Image annotation for Jewelry images
NM
Nehoray M.
Mar 25, 2024
Detection
Extraordinary job from him
SV
Swati V.
Oct 8, 2022
Image Segmentation using CVAT
Rakib is an exceptional freelancer. He did an amazing data annotation work using CVAT. Highly recommended. Thank you.
BS
Bingzhou S.
Sep 8, 2022
Video annotation 3
About Md Rakib
Data Annotation/Data Labeling/Segmentation/3D Point Cloud Annotation
69%
Job Success
Bhola, Bangladesh - 6:59 pm local time
Welcome to my profile. I am Md Rakib Hosen, an experienced data annotator with a proven track record of delivering high-quality annotated data sets to clients across various industries. With 5+ years of experience in data annotation, I offer expertise in ensuring accurate and reliable annotations to support machine learning and AI initiatives.
CORE SKILLS:
✔ Proficient in data annotation tools such as CVAT, Roboflow, Labelbox, Segments AI, etc.
✔ Strong understanding of annotation methodologies including Bounding Boxes, Polygons, 3D
Point Cloud, Segmentation, Keypoints, and Semantic Segmentation.
✔ Expertise in annotating diverse data types including Images, Videos, Text, 3D Point and Audio.
✔ Ability to work with complex datasets and handle large volumes of data efficiently.
✔ Excellent attention to detail and commitment to delivering accurate annotations within specified deadlines.
TOOLS USED:
✔ CVAT
✔ Roboflow
✔ Segments AI
✔ LabelBox, LabelImg, LabelMe
✔ Supervisely
✔ SuperAnnotate
✔ V7 Darwin
✔ Dataloop
✔ VoTT
✔ Client's Custom Tools
OUTPUT DATA FORMATS:
✔COCO, YOLO
✔ XML, TXT.
✔ CSV, JSON.
✔ Excel, Word, XLSX.
✔ Or any other required format.
KEY ACHIEVEMENTS:
1. Successfully annotated over 100k+ images for object detection projects, achieving an average
accuracy rate of 98.5%
2. Collaborated with Mike Qasem on a video annotation project, delivering annotated video data for
activity recognition with precision and consistency.
3. Contributed to the development of a natural language processing (NLP) model by annotating text
data for sentiment analysis, resulting in improved model performance.
4. Received consistent positive feedback from clients for my professionalism, communication, and
ability to meet project requirements effectively.
Thanks
Hire me as an annotation expert with 5+ years of experience in this field.
Steps for completing your project
After purchasing the project, send requirements so Md Rakib can start the project.
Delivery time starts when Md Rakib receives requirements from you.
Md Rakib works on your project following the steps below.
Revisions may occur after the delivery date.
Contact me
Assign the project
Place Order
Start Annotation