You will get Deep Learning, Computer Vision and Image Processing Products
Project details
Computer Vision Engineer with 4+ years of experience in Computer Vision and deep learning.
I have experience in creating end-to-end computer vision pipelines which include whole machine learning life cycle from:
Data Collection => Data Preprocessing => Model Development & Model Quantization => Deployment.
What I can do for you?
- Image/Video Classification
- Object Detection
- Image Segmentation
- Activity/Action Recognition
- Image Super Resolution
- Emotion Detection
- Image Captioning/Image Annotation
I have expertise in:
- PyTorch, TensorFlow, Keras, caffe, MXNet
- ONNX/Tensor RT/TF Light
- opencb
- Nvidia CuDNN
- Docker
I have experience in creating end-to-end computer vision pipelines which include whole machine learning life cycle from:
Data Collection => Data Preprocessing => Model Development & Model Quantization => Deployment.
What I can do for you?
- Image/Video Classification
- Object Detection
- Image Segmentation
- Activity/Action Recognition
- Image Super Resolution
- Emotion Detection
- Image Captioning/Image Annotation
I have expertise in:
- PyTorch, TensorFlow, Keras, caffe, MXNet
- ONNX/Tensor RT/TF Light
- opencb
- Nvidia CuDNN
- Docker
What's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 7 days | 15 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 10 |
Number of Scenarios | 1 | 3 | 9 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
About ABDULAZIZ
Machine Learning, Deep Learning, Computer Vision, Image Processing
Seoul, South Korea - 3:39 pm local time
➣ 4 years of Industry development experience.
Field of expertise:
# machine-learning/deep-learning
# statistical-analysis/data-science
# computer vision
# NLP
Skillset
✓ coding skills in Python (scripting, Jupyter, google Colab, kaggle, VS code)
✓ Python data analytics libraries (scikit-learn, pandas, numpy, Matplotlib, plotly, seaborn)
✓ Computer Vision tools and packages (Yolo, MMDetection, OpenCV)
✓ Natural Language Processing tools and packages (gensim, spacy, nltk)
✓ Deep learning libraries and toolboxes (TensorFlow, Keras, Pytorch)
Steps for completing your project
After purchasing the project, send requirements so ABDULAZIZ can start the project.
Delivery time starts when ABDULAZIZ receives requirements from you.
ABDULAZIZ works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.