Hi, this is Md Mamun Mia, Data Annotation and Labeling Professional. I have 3+ Years of Organizational Working Experiences in total on this field and have worked for a international company so long as a Project Delivery Manager.

Training machines to interpret and understand the visual world requires a high volume of accurately labeled training data. Sure, you could toss your labeling project to an unknown crowd, an inflexible outsourcer, or a faceless platform API. But your project and training data needs are unique. I can help you here in a meaningful way.

From Bounding Boxes, Polygon, Landmark, Bitmap Object Tracking to Semantic Segmentation and Keypoint annotation, I'm a skilled Data Analyst. I apply best practices developed from annotating millions of images and videos to deliver best-in-class data labeling for computer vision leaders around the world. I can customize the data to your user-friendly formats.

List of Tools I am Used To:

=> Supervisely
=> Super Annotate
=> CVAT
=> LABELME
=> LABELING
=> LABELIMG
=> LABELBOX
=>ROBOFLOW
=> LABEL STUDIO


Data:

=> Images
=> Videos
=> Text


Annotation type:

=> Image Classification
=> Key Point Labeling
=> Semantic/Instance Segmentation with Masks
=> Semantic/Instance Segmentation with Polygons
=> Object Detection with Bounding Boxes
=> Object Recognition with Polygons
=> Object Detection with Landmark
=> Point Cloud Data (LiDAR) Annotation


Data output formats

XML, YOLO, JSON, COCO, CSV, SEGMENTATION MASKS, TSV


Notes on Me:

=> I DO NOT: Train Models
=> I DO NOT: Create Applications
=> I DO NOT: Write Python Scripts

I will provide you with best and accurately Annotated Data to create and train the Models for #Machine_Learning, #Computer_Vision, #Deep_Learning Projects