You will get well annotated images working with me

Project details
Hi, I am a highly skilled data annotation specialist with extensive experience in annotating images, text, video, and audio. I have a strong background in data management and quality control, and I am committed to delivering high-quality annotated data sets that meet the needs of my clients.
My expertise includes:
Image Annotation: I am skilled in labeling objects, actions, and attributes in images, and I use a variety of annotation tools and techniques to ensure accurate and consistent results.
Text Annotation: I can annotate text for sentiment analysis, named entity recognition, and topic modeling, among other applications. I am familiar with various annotation formats and guidelines
Python |TensorFlow | Transformers | NLTK | Scikit-Learn | Django | Natural Language Processing | Google Bert | Machine Learning | Neural Network | Deep Learning | Artificial Intelligence | LLM Prompt Engineering | Data Science | Predictive Model | Machine Learning Model | Data Analysis | ChatGPT API Integration | Rag's LLM | Computer Vision | OpenCV | Face Detection | AI Development | GPT-4 API | API | API Integration | Amazon Web Services | Conversational AI | Generative AI Prompt Engineering
My expertise includes:
Image Annotation: I am skilled in labeling objects, actions, and attributes in images, and I use a variety of annotation tools and techniques to ensure accurate and consistent results.
Text Annotation: I can annotate text for sentiment analysis, named entity recognition, and topic modeling, among other applications. I am familiar with various annotation formats and guidelines
Python |TensorFlow | Transformers | NLTK | Scikit-Learn | Django | Natural Language Processing | Google Bert | Machine Learning | Neural Network | Deep Learning | Artificial Intelligence | LLM Prompt Engineering | Data Science | Predictive Model | Machine Learning Model | Data Analysis | ChatGPT API Integration | Rag's LLM | Computer Vision | OpenCV | Face Detection | AI Development | GPT-4 API | API | API Integration | Amazon Web Services | Conversational AI | Generative AI Prompt Engineering
Data Tool
PythonWhat's included
Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$50
|
---|---|---|---|
Delivery Time | 1 day | 2 days | 5 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
14 reviews
(13)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
ES
Erik S.
Jan 30, 2025
Python AI Developer with LLM / RAG Expertise
Great developer, will work again with him!
JR
Jacob R.
Jul 16, 2024
Development of a scalable AI-Driven Chatbot Using TensorFlow
FM
Frederick M.
May 13, 2024
AI prompt optimization
AA
Abdullah A.
Apr 30, 2024
BigML for sales analysis
He demonstrated exceptional professionalism, attention to detail, and timely communication throughout the entire process.
His expertise and dedication were evident in the high-quality deliverables he provided. He was receptive to feedback and made necessary adjustments promptly.
I highly recommend him to anyone seeking reliable and skilled freelance services. I look forward to collaborating with him again in the future.
Thank you,
His expertise and dedication were evident in the high-quality deliverables he provided. He was receptive to feedback and made necessary adjustments promptly.
I highly recommend him to anyone seeking reliable and skilled freelance services. I look forward to collaborating with him again in the future.
Thank you,
TP
Tomi P.
Jun 4, 2023
Data/ML scientist or engineer for data processing, analysis and insights
Working with Akin was very straightforward and easy. He puts in a lot of effort into his work which shows in his delivery. He also takes feedback really well and delivers quality work
About Akinyiga
Data | AI | ML Engineer with RAG, LLM, Fabrics, Cloud Services
100%
Job Success
Ilisan I, Nigeria - 6:42 pm local time
I have industry level experience building solutions using different technical skills such as
🔷 CHATGPT 🔷 LANGCHAIN. 🔷 PINECONE. 🔷 KERAS 🔷 WEBSRAPING. 🔷 LANGRAPH 🔷 LLM 🔷 MULTI-AGENT 🔷 RAG 🔷 DATA ARCHITECTURE DESIGN
🔷 PYTHON 🔷 R 🔷 AWS 🔷 AZURE 🔷 TENSORFLOW 🔷 MLOPs
🔷 GIT 🔷 DOCKER 🔷 OPENCV 🔷 DJANGO 🔷 BigML 🔷 GAN
Proficient in deploying and managing applications on cloud infrastructures like AWS and AZURE, Akinyiga excels at designing and implementing efficient, scalable environments that enhance data-driven decision-making processes. His practical experience is complemented by a strong theoretical foundation in machine learning and software engineering principles, making him an invaluable asset to any team aiming to innovate and transform data into actionable insights.
🏆TESTIMONIALS🏆
⭐⭐⭐⭐⭐ Working with Akin was very straightforward and easy. He puts in a lot of effort into his work
which shows in his delivery. He also takes feedback really well and delivers quality work ~ Tomi
⭐⭐⭐⭐⭐ He demonstrated exceptional professionalism, attention to detail, and timely communication throughout the entire process. His expertise and dedication were evident in the high-quality deliverables he provided. He was receptive to feedback and made necessary adjustments promptly. I highly recommend him to anyone seeking reliable and skilled freelance services. I look forward to collaborating with him again in the future. Thank you," ~ Abdullah
I have experience in cleaning, manipulating, and visualizing data. I provide clients with clear documented codes, along with valuable insights through meaningful visualizations.
Have work on different data which includes:
Technology:
FACIAL RECOGNITION, TEXT CLASSIFICATION using Traditional Approach and Transformer models like BERT, GPT-3, CHATGPT, LANGCHAIN, WEB SCRAPING using Beautiful soup and Selenium, IMAGE RECOGNITION WITH TRANSFER LEARNING, CUSTOM OBJECT DETECTION using transfer learning, Text Generation and Conversation platform using CHATGPT, LANGCHAIN, PINECONE etc.
HONORS
Winner Grid3 (Geo-Reference Demographic Data for Development) Nigeria Data Challenge. Producing a geospatial data analysis proffering a solution to a problem identified in one of four sectors: agriculture/food security, health, finance, and transportation in Lagos (these were chosen to align with the national priorities identified by GRID3 Nigeria’s National Steering Committee, led by the Ministry of Finance, Budget and National Planning, and current GRID3 engagements and activities). The competition aimed to highlight how GEOSPATIAL DATA ANALYTICS can support the national development agenda, as well as generate ideas around the use of geospatial data
Top Participants Data Science Nigeria 2019/2020 Bootcamp competition with mentorship from over 20 expert across Data Science, Cloud computing, Business Professionals who travelled to Nigeria like Dr. Stephen Odaibo (founder of Retina-AI) , Prof. Tom Dietterich (founder of BigML)
Participated in an online Ideation Program facilitated by Data Science Nigeria in Partnership with Technovation
Python |TensorFlow | Transformers | NLTK | Scikit-Learn | Django | Natural Language Processing | Google Bert | Machine Learning | Neural Network | Deep Learning | Artificial Intelligence | LLM Prompt Engineering | Data Science | Predictive Model | Machine Learning Model | Data Analysis | ChatGPT API Integration | Rag's LLM | Computer Vision | OpenCV | Face Detection | AI Development | GPT-4 API | API | API Integration | Amazon Web Services | Conversational AI | Generative AI Prompt Engineering | Azure Service Fabric | Selenium | Puppeteer | PROXY Networks Remote Support Software | AWS Lambda | AWS Fargate | AWS CodePipeline | Batch Data Processing | Real-Time Data Processing | Web Scraping | Selenium WebDriver | Real-Time Hub | Microsoft Fabrics | Data Engineering | Medalion Architecture
Steps for completing your project
After purchasing the project, send requirements so Akinyiga can start the project.
Delivery time starts when Akinyiga receives requirements from you.
Akinyiga works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation
The first step is to gather and prepare the data that needs to be annotated. This includes collecting images, text, videos, and audio files that are relevant to the machine learning task at hand.
Annotation Tool Selection
The next step is to select the appropriate annotation tool for the type of data being annotated using tools such as Labelme, Labelimg, Labelbox, Dataturks, and Prodig