You will get Bounding Box Annotation for Chess Pieces Detection


Project details
đ¨ What You Will Get:
â Bounding box annotation for each chess piece
â Labeled classes:
white-king, white-queen, white-bishop, white-knight, white-rook, white-pawn
black-king, black-queen, black-bishop, black-knight, black-rook, black-pawn
â Export in your desired format (COCO, YOLO, Pascal VOC, etc.)
â High-quality, clean, and guideline-followed annotations
â Dataset preview with screenshots (on request)
â Bounding box annotation for each chess piece
â Labeled classes:
white-king, white-queen, white-bishop, white-knight, white-rook, white-pawn
black-king, black-queen, black-bishop, black-knight, black-rook, black-pawn
â Export in your desired format (COCO, YOLO, Pascal VOC, etc.)
â High-quality, clean, and guideline-followed annotations
â Dataset preview with screenshots (on request)
What's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$45
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Sabir
Data Annotation & Quality Control Expert | Video, Medical, Autonomous
Noida, India - 5:41 pm local time
Hi, Iâm Sabir Ali đ
I help AI & ML teams build reliable training datasets through high-accuracy annotation and quality control. With 3+ years of experience and over 100 successful projects, I specialize in delivering QC-checked, production-ready data that saves clients time, cost, and rework.
đ What I Do Best
Video Action Labeling â Frame-by-frame precision for activity recognition & sports AI.
Autonomous Driving Datasets â Lane markings, vehicles, pedestrians, and road elements.
Medical & Research Annotation â Specialized labeling for diagnostic & research use.
Data QC & Pilot Projects â Ensuring consistent accuracy before full-scale deployment.
đ Tools I Work With
CVAT, Supervisely, Labelbox, V7 Darwin, AWS Sagemaker, Dataloop
â Why Clients Choose Me
Accuracy & consistency in every dataset
End-to-end quality checks
Ability to handle large-scale projects (with a small trained team, if needed)
Flexible & fast communication
đ Key Expertise
Bounding Boxes, Polygons, Semantic Segmentation
3D Cuboids, Keypoints, Lines & Splines
Text, Image & Audio Classification
Data Preprocessing & QC Reports
If you need a reliable data annotation partner who goes beyond clicking boxes and delivers scalable, error-free datasets, letâs connect. I can also do a short paid test task to prove my quality before full engagement.
Steps for completing your project
After purchasing the project, send requirements so Sabir can start the project.
Delivery time starts when Sabir receives requirements from you.
Sabir works on your project following the steps below.
Revisions may occur after the delivery date.
Review client dataset and instructions
I will carefully go through your uploaded images/videos and read your labeling instructions to ensure I fully understand your requirements before starting.
Set up project in Labelbox
I will create a project workspace in Labelbox, organize the dataset, and prepare the labeling interface with your required class names.
