You will get Video Annotation, Object Tracking & Temporal Labeling for AI Models
Rising Talent
Rising Talent
Project details
I will create professional video annotation datasets for AI, Deep Learning, and Computer Vision projects that require frame-by-frame accuracy and temporal consistency. This service includes video annotation, object tracking, persistent tracking IDs, bounding boxes, action recognition, activity detection, pose estimation, keypoint tracking, event detection, temporal labeling, video semantic segmentation, and QA review across long video sequences.
I can annotate surveillance footage, sports analytics videos, workplace safety videos, retail behavior footage, traffic videos, gesture datasets, multi-camera footage, and activity recognition datasets. I maintain consistent object IDs through occlusions, exits, re-entries, and scale changes so your model receives clean training signals. For action recognition, I can mark exact start and end frames for each activity class.
Deliverables can include CVAT XML, MOT format, COCO Video JSON, Labelbox NDJSON, CSV, JSON, ActivityNet-style annotations, or custom formats. This service is ideal for object tracking, motion analysis, behavior detection, pose models, and AI Training Data for video-based Computer Vision systems.
I can annotate surveillance footage, sports analytics videos, workplace safety videos, retail behavior footage, traffic videos, gesture datasets, multi-camera footage, and activity recognition datasets. I maintain consistent object IDs through occlusions, exits, re-entries, and scale changes so your model receives clean training signals. For action recognition, I can mark exact start and end frames for each activity class.
Deliverables can include CVAT XML, MOT format, COCO Video JSON, Labelbox NDJSON, CSV, JSON, ActivityNet-style annotations, or custom formats. This service is ideal for object tracking, motion analysis, behavior detection, pose models, and AI Training Data for video-based Computer Vision systems.
What's included
| Service Tiers |
Starter
$80
|
Standard
$250
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 2 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Muhammad
AI Data Annotation | Computer Vision | NLP | RLHF | AI Training Data
Dera Ghazi Khan, Pakistan - 12:53 am local time
I help AI companies, startups, research teams, and machine learning teams build reliable datasets through professional data annotation, data labeling, quality assurance, RLHF evaluation, and AI training data preparation.
My focus is simple: clean, consistent, and well-structured training data that helps improve model accuracy, performance, and reliability.
Computer Vision Annotation Services:
• Image Annotation
• Video Annotation
• Bounding Box Annotation
• Polygon Annotation
• Object Detection
• Semantic Segmentation
• Instance Segmentation
• Keypoint & Landmark Annotation
• Image Classification
• Object Tracking
• OCR Annotation
• Medical Image Annotation
• Satellite Image Annotation
NLP & LLM Annotation Services:
• Text Annotation
• Text Classification
• Named Entity Recognition (NER)
• Sentiment Analysis
• Intent Classification
• Content Moderation
• Prompt Evaluation
• Response Evaluation
• RLHF Evaluation
• LLM Data Labeling
• AI Response Rating
• Search Relevance Evaluation
• Human Feedback Annotation
Audio & Speech Annotation Services:
• Audio Annotation
• Audio Labeling
• Speech Transcription
• Audio Classification
• Voice Data Evaluation
• Data Tagging
AI Training Data & QA Services:
• Dataset Creation
• Dataset Cleaning
• Dataset Curation
• Ground Truth Creation
• Data Collection
• Data Processing
• Quality Assurance
• Quality Control
• Dataset Validation
• AI Training Data Preparation
Tools & Platforms:
• CVAT
• Label Studio
• Labelbox
• Roboflow
• Supervisely
• LabelImg
• LabelMe
• Doccano
• Prodigy
• Dataloop
• V7
• VGG Image Annotator
Industries & Use Cases:
• Artificial Intelligence & Machine Learning
• Autonomous Vehicles
• Retail & E-commerce
• Healthcare & Medical Imaging
• Document Intelligence & OCR
• Geospatial & Satellite Imagery
• Security & Surveillance
• Conversational AI & LLMs
• Search & Recommendation Systems
• Audio and Speech Recognition
Why work with me?
• Accurate and consistent annotations
• Strong attention to detail
• Quality control before delivery
• Clear communication
• Fast turnaround time
• Scalable support for small and large datasets
• Focus on high-quality AI training data
Whether you need Computer Vision annotation, NLP datasets, RLHF evaluation, LLM response rating, AI training data preparation, or large-scale data labeling support, I can help you build reliable datasets for better AI models.
Let’s discuss your project and create high-quality data for your next AI solution.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Review Video Requirements
I will review your video files, target classes, frame rate, annotation type, tracking rules, action labels, pose requirements, event definitions, and preferred output format before starting the video annotation workflow and QA plan for alignment.
Set Up Video Labeling
I will prepare the annotation workspace, import videos or extracted frames, configure labels, tracking IDs, action classes, pose points, segmentation tools, and frame sampling rules for the project and confirm a sample setup before annotation.