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You will get an object detection app

Daniel G.Status: Offline
Daniel G.
Play video

Let a pro handle the details

Buy Machine Learning services from Daniel, priced and ready to go.
Daniel G.Status: Offline
Daniel G.
Play video

Let a pro handle the details

Buy Machine Learning services from Daniel, priced and ready to go.

Project details

You will get a solution for your object detection problem. Using state of the art techniques (mostly yolo), I offer solutions based on object detection, tracking, pose estimation, etc.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy

What's included $80

These options are included with the project scope.

$80
  • Delivery Time 7 days
  • Number of Revisions 1
  • Number of Model Variations 2
  • Number of Scenarios 1
    • Model Documentation
    • Source Code
Daniel G.Status: Offline

About Daniel

Daniel G.Status: Offline
Deep Learning|Machine Learning|Computer vision|Object detection|YOLO
Gijon, Spain - 7:40 pm local time
✅Delivering High-Quality Results on Time✅Providing Comprehensive End-to-End Solutions for Computer Vision✅Expert in Object Detection✅Extensive Knowledge in YOLO✅Creating Custom Deep Learning Solutions✅Specializing as a Computer Vision Solution Architect✅Offering Machine Learning Solutions✅Employing State-of-the-Art Image Classification Techniques✅Proficient in Segmenting Any Type of Object✅Expertise in Data Annotation✅Skilled in Generative AI✅Analyzing Vehicle Analytics

With over 3.5 years of professional experience in the field of Computer Vision, I have developed substantial expertise encompassing a range of Computer Vision aspects. My main areas of focus include Object Detection, Image Classification, YOLO, Image Recognition, Object/Image Segmentation, Deep Learning-based Post Estimation, Machine Learning, Object Tracking, Research and Development, as well as Signal Processing.

I possess hands-on experience in Computer Vision, Deep Learning, Machine Learning, and Vision AI. I am adept in utilizing frameworks such as OpenCV, TensorFlow, PyTorch, Mediapipe, and Keras. Some notable projects include:

⏭ PROJECTS INVOLVING COMPUTER VISION, OBJECT DETECTION, AND DEEP LEARNING ⏮

⭐Integration of Segment-Anything for Object Segmentation using YOLOv8, YOLOv5, YOLOv4
🟢Developing Vehicle Analytics with YOLO and Object Detection, including YOLOv8 deployment
⭐Implementing Personal Protective Equipment Detection with Deep Learning and Python (YOLOv8)
🟢PFace tracking and recognition (YOLOv5)

🟢Aircraft tracking and counting system.
⭐Utilizing Machine Learning for People Detection and Object Tracking with RGB Cameras
🟢Generating Heatmaps through EigenCam and Object Detection (YOLOv8)

🟢Automatic Number Plate Recognition via Object Detection and Machine Learning
🟢Estimating People Poses using YOLOv8, Object Detection, and Deep Learning
⭐Detecting People's Faces, Segmenting, and Applying Blurring using Machine Learning

⭐Identifying and classifiyng trash using custom dataset.
🟢Tracking Vehicles and Detecting Objects with Computer Vision
🟢Detecting Football Players using Computer Vision, OpenCV, and Deep Learning

🟢Employing Machine Learning for Multiple Object Tracking and Detection
🟢Classifying Benign and Malignant Skin Diseases using Image Classification and Python
⭐Implementing real-time Object detection systems in industry

🟢Ball tracking during sport event
🟢Tracking Football Objects using Machine Learning and Computer Vision (YOLOv8)

Steps for completing your project

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

Delivery time starts when Daniel receives requirements from you.

Daniel works on your project following the steps below.

Revisions may occur after the delivery date.

Problem understanding

Understand the problem and choose between available techniques to solve it

Model developement

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