endorsedCompleted

Custom AI Models for Photo Editor (Background Removal & Segmentation)

Services Covered:

AI and Machine Learning

Industry

Information Technology

Duration

5 months

Budget

10K - 49K

Start Date

1 October 2024

Team Size

1-5

Engagement Model

Offshore

Project Capability Score (PCS)

83/100

Strong

Project Capability Score (PCS) estimates how capable Quytech is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Paris, France

Project Summary

Quytech developed and fine-tuned custom AI models for a photo-editor platform, focusing on background removal, image segmentation, object detection, facial recognition, and photo enhancement using TensorFlow and PyTorch. The models were optimized for real-time performance on mobile and web, integrated successfully into the client's platform, and improved efficiency and user satisfaction; Quytech delivered on time and provided clear communication and handover.

Key Challenges

Develop and fine-tune custom AI models for background removal, segmentation, detection, and recognition
Prepare datasets and train models for real-time performance
Optimize models to run efficiently on mobile and web platforms
Integrate models into the client's platform and enable maintainability
Improve user-facing feature quality and satisfaction

Project Deliverables

Trained AI models (background removal, segmentation, detection, recognition)
Source code and integration-ready packages
Performance reports and optimization for mobile/web
Technical documentation and knowledge transfer
Post-launch support and handover materials

Project Solution

Quytech developed and fine-tuned custom AI models for background removal, image segmentation, object detection, facial recognition, and photo enhancement. The work included dataset preparation, model training, optimization for mobile and web, and integration support. Models were built using TensorFlow and PyTorch and were delivered with source code, performance reports, documentation, and knowledge-transfer sessions to enable the client's team to manage and retrain models independently.

Project Outcome

AI models integrated successfully and worked smoothly in real-time
Faster and more accurate background removal and editing tools
Efficient model performance on both mobile and web platforms
Client team able to manage and retrain models independently after handover
Improved feature quality and overall product experience

Platforms

Mobile
Web

Tech Stack

TensorFlow
Pytorch

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Quytech successfully integrated AI models into the client's platform, improving real-time efficiency and user satisfaction. Quytech managed the project effectively, meeting deadlines and communicating clearly. Their responsiveness, attention to detail, and proactive approach led to a smooth project.”
Anonymous
Co-Founder & CEO
Date: 04/11/2025