I will image tagging, annotation, labeling your data to bring ai to life
Bepul
About this Gig
Unlock the full potential of your AI projects with meticulously labeled data! Training machines to interpret and understand the visual world is no small feat, and accurate labeling is crucial. While you could choose to outsource your project to an unknown crowd or an inflexible platform, I offer a personalized solution tailored to your unique needs.
With extensive experience in annotating millions of images and videos, I specialize in delivering top-notch data labeling services that meet the highest standards of quality.
Services Offered:
· Comprehensive Annotation Types:
- Image Captioning
- Inventory Tracking
- Image Classification
- Dots with Key Point Labeling
- Semantic Segmentation with Masks
- Semantic Segmentation with Polygons
- Bounding Boxes
· Tools at My Disposal:
- CVAT
- LABELME
- Supervise.ly
- LABELING
- LABELIMG
- LABELBOX
- ROBOFLOW
- LABEL STUDIO
Data Types:
- Images
- Videos
Output Formats:
- XML
- YOLO
- Supervise.ly
- JSON
- COCO
- CSV
- Segmentation Masks
- TSV
What I Provide:
I will deliver accurately annotated data that is ready for you to use in training your models. Please note, I do not train models or create applicationsmy focus is solely on providing you with the structured data you need.
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
My Portfolio
FAQ
Are my images safe?
Yes, your images are safe, and we will delete your data after the delivery. Unless you inform us to keep it for you. And in that case, your data will be kept safe, secure, and private on my offline Raid storage where no one else can access it.
Will my data be published without my permission?
No, the work that I provide for you will not be used or published anywhere without your permission.
Do you accept custom orders?
Yes, we do. This could be working on a client's customized tool.
What is data annotation, image annotation or data labeling?
Data annotation is the process of labeling data to help machines understand and learn from it using machine learning algorithms. It involves attaching meaningful tags to various types of data, such as text, images, or audio, to train machine learning models effectively.

