You will get a Professional Computer Vision/OCR/Deep Learning Services
Project details
At LitsLink our team of 20 professional Data Scientists offers custom software solutions that leverage the power of computer vision, OCR, and DL to help clients automate tasks, improve data accuracy, and gain valuable insights from visual data for more than 8 years.
Our expertise includes developing image recognition and processing solutions, OCR technology for text extraction, and deep learning models for image processing, classification, and recognition.
We collaborate closely with clients to deliver high-quality solutions that meet their unique needs and requirements to stay ahead of the competition.
Our Main Tech stack:
OpenCV - for image and video processing.
Tesseract OCR - for text extraction from images and scanned documents.
TensorFlow - for image processing, classification, and recognition tasks.
PyTorch - for image processing, classification, and recognition tasks.
Keras - for image processing, classification, and recognition tasks.
Scikit-learn - for image processing and classification tasks.
Our expertise includes developing image recognition and processing solutions, OCR technology for text extraction, and deep learning models for image processing, classification, and recognition.
We collaborate closely with clients to deliver high-quality solutions that meet their unique needs and requirements to stay ahead of the competition.
Our Main Tech stack:
OpenCV - for image and video processing.
Tesseract OCR - for text extraction from images and scanned documents.
TensorFlow - for image processing, classification, and recognition tasks.
PyTorch - for image processing, classification, and recognition tasks.
Keras - for image processing, classification, and recognition tasks.
Scikit-learn - for image processing and classification tasks.
Machine Learning Tools
Amazon SageMaker, Caffe, ChatGPT, GitHub Copilot, Google AutoML, GPT-3, Keras, MATLAB, NLTK, NumPy, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, RapidMiner, scikit-learn, SciPy, Tableau, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$4,000
|
Standard
$8,000
|
Advanced
$12,000
|
|---|---|---|---|
| Delivery Time | 14 days | 28 days | 42 days |
Number of Revisions | 0 | 1 | 3 |
Number of Model Variations | 0 | 1 | 3 |
Number of Scenarios | 0 | 1 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,000 - $4,000
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JM
Jesper M.
Apr 19, 2022
Ai development
Very nice and easy to work with, meets deadlines and is skilled in AI development
LP
Lukas P.
May 18, 2021
AI Project Localaway
Amazing work, and I will definitely hire Mykola again for future projects- THANKS again!!!
About Mykola
Senior Machine Learning Engineer/Solutions Architect | NLP | CV | DS
Prague, Czech Republic - 2:19 am local time
Brief summary:
- 6+ years commercial experience in NLP and CV domains;
- strong organizational, problem-solving and analytical thinking;
- team leading experience.
Programming languages and frameworks:
Python, Databricks, Pytorch, Tensorflow, Scikit-learn, Pandas, Numpy, OpenCV, NLTK, AWS, GCP, Arduino, Tableau, Flask, Django, Streamlit
If you are looking for a reliable, creative and experienced AI professional, you have come to the right place - I will eagerly become your longtime partner.
Steps for completing your project
After purchasing the project, send requirements so Mykola can start the project.
Delivery time starts when Mykola receives requirements from you.
Mykola works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection
Gathering a diverse and representative dataset for training and evaluation. This dataset should include images or documents relevant to your project's objective. For OCR, labeled data with ground truth text is needed to train the model.
Data Preprocessing
Cleaning and preprocessing the collected data to improve the quality and compatibility with the computer vision or OCR algorithms. This step may involve resizing, cropping, normalizing, or enhancing images to enhance the accuracy of the model.