You will get high-quality annotated dataset for training your computer vision model
Project details
Need data annotated for your AI project? I provide annotation and labeling services for computer vision, NLP, LLM training, audio, and 3D models. Whether you need image labels, RLHF comparisons, or audio transcriptions, I deliver accurate data ready for training.
What I annotate:
- Image: bounding boxes, segmentation, polygon, keypoint, classification
- Video: frame-by-frame annotation, object tracking, interpolation
- LLM/RLHF: response comparison, ranking, evaluation, sentiment analysis
- Audio: transcription, speaker identification, emotion labeling
- 3D: point cloud annotation, 3D bounding boxes, lidar labeling
Tools I work with:
- CVAT, Labelme, LabelImg, Roboflow, V7, Supervisely, Label Studio
- Custom pipelines for large-scale projects
Every delivery goes through quality checks to make sure labels are consistent and accurate. I provide output in COCO, YOLO, Pascal VOC, or any format your model needs.
I can also help with building end-to-end computer vision applications if you need the full pipeline from data to deployment.
Message me with your requirements for a quick estimate.
What I annotate:
- Image: bounding boxes, segmentation, polygon, keypoint, classification
- Video: frame-by-frame annotation, object tracking, interpolation
- LLM/RLHF: response comparison, ranking, evaluation, sentiment analysis
- Audio: transcription, speaker identification, emotion labeling
- 3D: point cloud annotation, 3D bounding boxes, lidar labeling
Tools I work with:
- CVAT, Labelme, LabelImg, Roboflow, V7, Supervisely, Label Studio
- Custom pipelines for large-scale projects
Every delivery goes through quality checks to make sure labels are consistent and accurate. I provide output in COCO, YOLO, Pascal VOC, or any format your model needs.
I can also help with building end-to-end computer vision applications if you need the full pipeline from data to deployment.
Message me with your requirements for a quick estimate.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, deeplearn.js, Google AutoML, Google Sheets, Keras, Microsoft Excel, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, Tesseract OCR, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$1,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 1 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
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IN
Ihor N.
Nov 2, 2025
Consultant Needed for Roboflow and YOLO Object Detection Training
RP
RJ P.
Apr 11, 2025
Machine learning tool for material identification
The project went smoothly and was delivered ahead of schedule.
YB
Yusuf B.
Nov 29, 2024
3D Reconstruction Pipeline
Great communication, skills stuck to the deadlines and offered great ideas to improve the project.
AL
Alex L.
Jul 8, 2024
Facial recognition to a web application that uses the camera and recognizes with AI skin problems.
Faruk is a great person, willing to help and solve the needs of what is needed, thanks for everything.
NR
Nils R.
Jul 5, 2024
AI/ML Prototype Developer for UKEY App
Faruk was a pleasure to work with, very skilled at what he does and Impeccable communication. I would be happy to work with him again
About Md Faruk
Computer Vision, Machine Learning, Jetson, C++ | AI Agent, Claude Code
83%
Job Success
Rangamati, Bangladesh - 10:24 am local time
✅ What I Build
▸ Computer Vision: object detection, tracking, segmentation, pose estimation, image classification, counting, OCR, anomaly detection
▸ Edge AI: NVIDIA Jetson (Nano, Orin, Xavier), Raspberry Pi, model optimization with TensorRT, ONNX, and TFLite for real-time inference
▸ Image Generation: Stable Diffusion (SDXL, SD 3.5), Flux, DALL·E 3, ControlNet, LoRA fine-tuning, ComfyUI workflows
▸ Video Generation: Kling, Runway Gen-3, Minimax Hailuo, Veo, Pika, automated cinematic and product video pipelines
▸ AI Agents: autonomous multi-step agents using LangChain, LangGraph, CrewAI, and AutoGen with RAG, memory, and tool use
▸ Voice AI: conversational voice agents using Vapi, Retell AI, ElevenLabs, Bland AI, and Deepgram for inbound/outbound calling and automation
▸ MCP Servers: custom Model Context Protocol servers connecting Claude and other agents to your APIs, databases, and internal tools
▸ Claude Code: agentic software engineering with subagent architectures, skill-based pipelines, and autonomous multi-step coding workflows
✅ Tech Stack
▪ Computer Vision: OpenCV, YOLO, MediaPipe, Detectron2, SAM, Vision Transformers
▪ Deep Learning: PyTorch, TensorFlow, Keras, ONNX
▪ Tracking & Optimization: DeepSORT, ByteTrack, TensorRT, OpenVINO
▪ Deployment: DeepStream, Triton Inference Server, TFLite, FastAPI, Flask, Docker
▪ Generative AI: Stable Diffusion, Flux, ComfyUI, Replicate, Fal.ai
▪ Agents & Voice: LangChain, LangGraph, CrewAI, Vapi, Retell AI, ElevenLabs, n8n
▪ MCP & Agentic: Claude Code, MCP SDK, custom tool servers
▪ Cloud: AWS, GCP, Azure
▪ Languages: Python, C++, CUDA
🚀 Send me a message with what you are trying to build, and let's discuss.
Steps for completing your project
After purchasing the project, send requirements so Md Faruk can start the project.
Delivery time starts when Md Faruk receives requirements from you.
Md Faruk works on your project following the steps below.
Revisions may occur after the delivery date.
Define Annotation Specs
Agree on classes, label format, and quality standards.
Annotate Dataset
Label all images with quality checks at each stage.