You will get Human body 3D skeleton

Eugene G.Status: Offline
Eugene G. Eugene G.
4.8
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Eugene, priced and ready to go.
Eugene G.Status: Offline
Eugene G. Eugene G.
4.8
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Eugene, priced and ready to go.

Project details

Human body 3D reconstruction,
- models for Skeletonization: VitPose, Mediapipe, Open Pose.
- model tuning for each sport type, Baseball, Brazilian Jiu Jitsu.
- dataset preparation. Annotation team management.
- data post processing, sport analytics/metrics computation
- performance optimization
AI Development Type
Deep Learning, Model Tuning
AI Tools
Keras, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlow, Theano
AI Development Language
Python
What's included
Service Tiers Starter
$2,000
Standard
$5,000
Advanced
$15,000
Delivery Time 5 days 30 days 70 days
Number of Revisions
0210
AI Model Integration
-
Detailed Code Comments
-
-
Knowledge Graph
-
-
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Model Documentation
-
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Ontology
-
-
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Source Code
Taxonomy
-
-
-
Optional add-ons You can add these on the next page.
Additional Revision
+$500
4.8
50 reviews
92% Complete
4% Complete
1% Complete
(0)
2% Complete
2% Complete

BL

Brian L.
5.00
Feb 4, 2026
Computer Vision Expert Needed for Model Tuning Eugene is an excellent developer who always goes above and beyond with his ideas and solutions to problems. A great engineering mind that delivers on his promises.

FV

Federico V.
5.00
Dec 21, 2025
Cards recognition, defect ranking.

DE

David E.
5.00
Sep 18, 2025
3D Reconstruction of Scene from 2D Images

MH

Marco H.
4.70
Mar 31, 2025
AI Vision Tool for EAN Barcode Detection and Verification We were looking for a piece of software to help out in our warehouse. This was delivered and therefore we no longer needed the contract or a freelancer to help us out.

JQ

Jose Q.
5.00
Nov 22, 2024
Image Background Removal Software for PC great work
Eugene G.Status: Offline

About Eugene

Eugene G.Status: Offline
Computer Vision | Deep Learning | OCR | Data Science | LLM
100% Job Success
4.8  (50 reviews)
Kyiv, Ukraine - 4:20 pm local time
If you're building a 𝐬𝐭𝐚𝐫𝐭𝐮𝐩 or 𝐌𝐕𝐏 that relies on 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 or 𝐀𝐈, I can help you turn your idea into a working product — fast and reliably.
I don’t just write code — I design vision systems that actually work in production, from image recognition and tracking to real-time video analytics and deep learning pipelines.

Over the past 𝟏𝟑 𝐲𝐞𝐚𝐫𝐬, I’ve built and delivered AI solutions for 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐟𝐚𝐬𝐡𝐢𝐨𝐧 & 𝐛𝐞𝐚𝐮𝐭𝐲 platforms, 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬, 𝐚𝐠𝐫𝐢𝐭𝐞𝐜𝐡 companies using drone imagery, 𝐬𝐩𝐨𝐫𝐭𝐬 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 (human pose tracking), and digital rights protection systems with invisible watermarks.

I’ve been working in 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 and 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 for over a decade, including experience at 𝐒𝐚𝐦𝐬𝐮𝐧𝐠 𝐑&𝐃 and numerous freelance projects.

Tech stack: PyTorch, TensorFlow, YOLO, GANs, Stable Diffusion 2.0, Fast.ai, OpenCV, C++, Python, CUDA, OCR, LLM, Git, code profiling and 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 optimization, 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 evaluation.

Other:
Strong background in algorithms and a passion for 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬.
Education: Moscow Institute of Physics and Technology.

Performance + Accuracy = Computer Vision that scales your business. ✅ 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱!


Keywords:
Computer Vision, Deep Learning, OCR, Data Science, LLM, Artificial intelligence, machine learning, object detection, object tracking, instance segmentation, semantic segmentation, image stitching, super resolution, image processing, morphology, OpenCV, TensorFlow, TensorFlow-light, PyTorch, Python, C++, YOLO, StyleGAN, GAN, Performance Optimization, speedup, Tesseract OCR, OCR, Google Cloud Vision API, ChatGPT API, GPT, Google Cloud Platform, Stable Diffusion, SD, 3D, Point Cloud, camera calibration, stereo vision, SLAM, math, algorithms, Clustering, OPTICS, DBSCAN, Kalman filter, accuracy evaluation, data annotation, data labelling, SIMD, ARM-NEON, DSP, GPU, Git, Valgrind, cMake.

Steps for completing your project

After purchasing the project, send requirements so Eugene can start the project.

Delivery time starts when Eugene receives requirements from you.

Eugene works on your project following the steps below.

Revisions may occur after the delivery date.

dataset preparation

Contact with client, dataset preparation Hiring annotation team (for big project) annotation quality control. Work with outliers.

research

Find best model to solve client task

Review the work, release payment, and leave feedback to Eugene.