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Fiverr Pro
English
$
USD
I will annotate images with bounding boxes, polygons, and segmentation
Full Stack Web Scraper, developed robust applications
I'm Fazlay Rabbi – a skilled Software Engr. specializing in Python web scraping and automation. I extract valuable data from websites efficiently, leveraging BeautifulSoup, Scrapy, and Selenium to bui...
About this Gig
Are you looking for accurate and consistent image annotation for your AI, machine learning, or computer vision project?
I will professionally annotate and label your images according to your instructions and annotation guidelines.
Services I offer
- Bounding box annotation
- Polygon annotation
- Image segmentation
- Semantic segmentation
- Instance segmentation
- Image classification
- Keypoint annotation
- Line and polyline annotation
- Object detection labeling
- Image tagging
- Video frame annotation
Dataset organization and quality checking
Annotation tools
I can work with tools such as:
- CVAT
- Label Studio
- Roboflow
- LabelImg
- LabelMe
- Supervisely
- MakeSense.ai
Delivery formats
Depending on your project requirements, I can provide:
- YOLO TXT
- COCO JSON
- Pascal VOC XML
- CSV
- JSON
PNG segmentation masks
Your preferred platform or format
I carefully follow your class definitions, labeling instructions, naming conventions, and quality requirements.
Please contact me before placing an order so I can review your dataset, annotation type, class list, file format, and deadline.
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
My Portfolio
FAQ
What types of annotation do you provide?
I provide bounding boxes, polygons, image classification, semantic segmentation, instance segmentation, keypoints, lines, and object detection annotation.
Can you follow my annotation guidelines?
Yes. Please provide your instructions, class definitions, examples, and edge-case rules before the project begins.
Which file formats can you deliver?
I can deliver files in formats such as YOLO TXT, COCO JSON, Pascal VOC XML, CSV, JSON, and PNG masks, depending on the selected package and project requirements.
