You will get an image retrieval tool with web UI using python and pinecone vector DB.
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Project details
Our state-of-the-art Image Retrieval Tool offers an intuitive web UI designed to cater to a multitude of scenarios. Leveraging the prowess of the CLIP Model , this tool requires no prior training and assures optimal baseline performance right out of the box. Additionally, the system's flexibility allows for model finetuning tailored to specific domains for enhanced precision. For those seeking domain adaptation, we also support advanced neural network architectures such as Autoencoders and Siamese networks.
Main Features:
High-Quality Vectorization: Uses the CLIP models for superior image to vector conversion.
Extensive Database Support: The system is compatible with several leading vector databases including Pinecone, Milvus, Faiss, Annoy, and Elasticsearch.
Multi-domain Application: Suitable for diverse subdomains such as fashion, jewelry, real estate, art, and more.
Fast and Accurate Retrieval: Utilizes cosine similarity for prompt and precise image retrieval.
Flexible File Support: Accepts JPG and PNG images for both indexing and querying.
Seamless Integration: Built with a REST API framework for easy integration into web or mobile platforms.
Main Features:
High-Quality Vectorization: Uses the CLIP models for superior image to vector conversion.
Extensive Database Support: The system is compatible with several leading vector databases including Pinecone, Milvus, Faiss, Annoy, and Elasticsearch.
Multi-domain Application: Suitable for diverse subdomains such as fashion, jewelry, real estate, art, and more.
Fast and Accurate Retrieval: Utilizes cosine similarity for prompt and precise image retrieval.
Flexible File Support: Accepts JPG and PNG images for both indexing and querying.
Seamless Integration: Built with a REST API framework for easy integration into web or mobile platforms.
Machine Learning Tools
Keras, NumPy, OpenCV, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 5 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 1
Optional add-ons
You can add these on the next page.
Custom training
(+ 5 Days)
+$300
Extended Vector Database Integration
(+ 4 Days)
+$200Frequently asked questions
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YI
Yeonjun I.
Feb 4, 2026
ADO057 | AI Agent Failure Annotation (Full Project) (Abhilash)
MT
Md Mehrab T.
Oct 14, 2025
ADO057 | AI Agent Failure Annotation (Test Project)
LS
Lois S.
Sep 9, 2025
ADO057 | AI Agent Failure Annotation (Test Project)
TN
Tom N.
Aug 15, 2024
AI podcast web application
Would hire again. Great work.
ML
Martin L.
Aug 5, 2024
Job categories process and fixes to query endpoint
Abhilash was a capable and rock solid performer who was always available and happy to come back with amendments and suggestions. Highly recommended.
About Abhilash
Experienced Deep Learning Engineer | Specializing in NLP and GenAI
100%
Job Success
Trivandrum, India - 6:44 pm local time
My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀
My technical toolkit includes:
🔸 Deep Learning Models: Keras, TensorFlow, PyTorch
🔸 Batch & Stream Processing: Spark SQL
🔸 Backend Development: PostgreSQL
🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3
In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases.
In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage.
In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models.
I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills.
Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals.
Looking forward to helping you bring your AI vision to life! 😊
Steps for completing your project
After purchasing the project, send requirements so Abhilash can start the project.
Delivery time starts when Abhilash receives requirements from you.
Abhilash works on your project following the steps below.
Revisions may occur after the delivery date.
Specify the domain and requirements with sample data
We can discuss the requirement and explore the sample data to see which is the best course of action. We can decide whether we can use our pre-trained models or train new models s-0pecifically for the domain.
Give the image data or image samples to test the retrieval model
Fo testing the model and adjusting the parameters sample data is required