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You will get Build an Image Captioning AI with ResNet50 and Transformers

Boules A.Status: Offline
Boules A. Boules A.
Preview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Boules, priced and ready to go.
Boules A.Status: Offline
Boules A. Boules A.
Preview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

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

Project details

I will build a high-accuracy Image Captioning model tailored to your specific needs. unlike basic off-the-shelf solutions, I utilize a state-of-the-art architecture combining ResNet50 for powerful visual feature extraction and a custom Transformer Decoder for generating natural, human-like text.

Whether you need automated descriptions for accessibility, SEO content, or organizing large photo archives, I deliver a clean, documented, and deployment-ready solution. I can also fine-tune the model on your proprietary data to ensure it understands your specific domain context.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, GitHub Copilot, Google Sheets, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Sonnet, SQL, TensorFlow, Word2vec, XGBoost
What's included
Service Tiers Starter
$40
Standard
$200
Advanced
$500
Delivery Time 3 days 7 days 14 days
Number of Revisions
123
Number of Model Variations
112
Number of Scenarios
123
Number of Graphs/Charts
024
Model Validation/Testing
-
Model Documentation
-
-
Data Source Connectivity
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $100
Additional Revision
+$25
Model Documentation (+ 1 Day)
+$50

Frequently asked questions

Boules A.Status: Offline

About Boules

Boules A.Status: Offline
Machine Learning Engineer
Cairo, Egypt - 4:30 pm local time
Machine Learning Engineer with expertise in end-to-end model development, architecture implementation from first principles, and scalable data pipelines. Reproduced 3 peer-reviewed CV/NLP papers (CVPR 2016, ECCV 2018) with measurable improvements over published baselines. Experienced technical instructor and mentor through Google Developer Groups, having trained 30+ students.

Steps for completing your project

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

Delivery time starts when Boules receives requirements from you.

Boules works on your project following the steps below.

Revisions may occur after the delivery date.

Data Analysis & Preprocessing

I will review your provided images and captions, clean the dataset, and set up the necessary data pipelines for training.

Model Training & Optimization

I will configure the ResNet50-Transformer architecture and train (or fine-tune) the model on your data to ensure high accuracy.

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