You will get Image Segmentation & Object Detection | YOLO, DINO, Faster R-CNN
Project details
If you're looking for reliable and accurate image segmentation, object detection or data annotation for AI and computer vision tasks, you're in the right place.
I'm a Machine Learning Engineer with 4+ years of experience in image processing, dataset preparation, and deep learning workflows. I deliver clean, well-structured annotations to help power accurate and scalable ML models.
Whether it's bounding boxes, polygon annotation, semantic segmentation, or text labeling, I ensure pixel-level precision using top industry tools and custom Python automation when needed.
🛠️ Services:
• Bounding Box & Polygon Annotation
• Text & Semantic Labeling
• Image Augmentation (Python-based)
• Segmentation mask
⚙️ Tools:
YOLO, DINO, RCNN, LabelImg, LabelMe, Makesense.AI, Roboflow, Label Studio, SageMaker, Custom Python Scripts
📤 Output Formats:
YOLO (.txt), COCO (.json), PASCAL VOC (.xml), Segmentation Masks, CSV/Custom
Clean annotations build better models, let’s start your dataset today
I'm a Machine Learning Engineer with 4+ years of experience in image processing, dataset preparation, and deep learning workflows. I deliver clean, well-structured annotations to help power accurate and scalable ML models.
Whether it's bounding boxes, polygon annotation, semantic segmentation, or text labeling, I ensure pixel-level precision using top industry tools and custom Python automation when needed.
🛠️ Services:
• Bounding Box & Polygon Annotation
• Text & Semantic Labeling
• Image Augmentation (Python-based)
• Segmentation mask
⚙️ Tools:
YOLO, DINO, RCNN, LabelImg, LabelMe, Makesense.AI, Roboflow, Label Studio, SageMaker, Custom Python Scripts
📤 Output Formats:
YOLO (.txt), COCO (.json), PASCAL VOC (.xml), Segmentation Masks, CSV/Custom
Clean annotations build better models, let’s start your dataset today
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$85
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 3 | 3 | 5 |
Number of Model Variations | 1 | 1 | 3 |
Number of Scenarios | 1 | 1 | 3 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Revision
+$5
Additional Model Variation
(+ 2 Days)
+$15
Additional Scenario
(+ 2 Days)
+$10
Additional Graph/Chart
(+ 1 Day)
+$5
Model Documentation
(+ 1 Day)
+$5
Data Source Connectivity
(+ 1 Day)
+$5
Source Code
+$15Frequently asked questions
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SV
Shalin V.
Dec 3, 2025
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Mustafa A.
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About Abhijeet
AI Engineer: Computer Vision, Image Processing & Generative AI
Kathmandu, Nepal - 3:50 pm local time
From research prototypes to production-ready pipelines, I focus on building AI systems that are practical, maintainable, and built for real-world use.
☑️ Core Services
Computer Vision & Detection → Object Detection, Object Tracking, Pose Estimation, Instance & Semantic Segmentation
Image Processing → Enhancement, Restoration, Filtering, Geometric Correction
Generative AI → AI Video Generation, AI Image Generation, Style Transfer, GAN-based Solutions
3D Vision → Scene reconstruction, Gaussian Splatting, Open-vocabulary 3D editing
End-to-End AI Delivery → Preprocessing, Training, Evaluation, Deployment-Ready, Well-Documented Code
☑️ Portfolio Highlights
Perspective Correction & Shape Detection → Designed a robust geometric correction pipeline for challenging camera angles, delivering accurate shape detection and earning a 5-star client review.
Padelytics → Automated sports video analysis using YOLO11 and MediaPipe for player, ball, pose, and rally analytics.
3D Scene Reconstruction & Editing → Language-driven Gaussian Splatting with CLIP/SAM integration
Image Processing Compendium → Classification, Segmentation, GANs, Compression algorithms
Style Transfer for Landscapes → Transformer-based generative pipeline
☑️ Tech Stack
Frameworks → PyTorch, TensorFlow/Keras (Deep Learning Frameworks)
Libraries → OpenCV, YOLO11, MediaPipe, CLIP, SAM, NumPy, Matplotlib, Pandas
Deployment → Docker, Flask/FastAPI for model serving
Languages → Python, C++
⚡ Let's tackle your Computer Vision, Image Processing, or Generative AI challenge.
📩 Send me the details and I'll tell you within a few hours exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Abhijeet can start the project.
Delivery time starts when Abhijeet receives requirements from you.
Abhijeet works on your project following the steps below.
Revisions may occur after the delivery date.
Milestone 1
Data Preprocessing if Needed
Milestone 2
Automating or Manual Process