AI Image Processing Development
Budget: $1,000 – $2,000 USD
I'm looking for an experienced AI developer to help develop and deploy a server-side AI image processing pipeline for my platform. The goal is to implement the following core features:
Required AI Features:
• AI Image Enhancement
– Auto exposure, contrast, and color correction (similar to Lightroom Auto or Apple Photos style)
• AI Skin Retouch
– Natural-looking skin smoothing, blemish removal, and face beautification
• AI Sky Replacement
– Automatically detect and replace sky in outdoor photos with various sky options
– Must preserve foreground details (trees, hair, buildings, etc.) with realistic blending
System Requirements:
• Deployable on my own server (preferably via FastAPI)
• Support for batch image processing (5K–10K resolution)
• GPU-compatible (NVIDIA)
• Clean, well-documented code, easy to integrate into an existing backend.
Preferred Tech Stack:
• Python (TensorFlow, PyTorch, OpenCV)
• FastAPI
• ONNX / TensorRT optimization is a strong plus
• Familiarity with models like U²-Net, MODNet, StyleGAN, or similar
Deliverables:
• Backend code for all three AI features
• REST API endpoints
• Setup & integration documentation
• (Optional) Basic web UI for internal testing
If you have experience in image AI development and can deliver a high-performance, production-ready solution, please reach me out.
Required AI Features:
• AI Image Enhancement
– Auto exposure, contrast, and color correction (similar to Lightroom Auto or Apple Photos style)
• AI Skin Retouch
– Natural-looking skin smoothing, blemish removal, and face beautification
• AI Sky Replacement
– Automatically detect and replace sky in outdoor photos with various sky options
– Must preserve foreground details (trees, hair, buildings, etc.) with realistic blending
System Requirements:
• Deployable on my own server (preferably via FastAPI)
• Support for batch image processing (5K–10K resolution)
• GPU-compatible (NVIDIA)
• Clean, well-documented code, easy to integrate into an existing backend.
Preferred Tech Stack:
• Python (TensorFlow, PyTorch, OpenCV)
• FastAPI
• ONNX / TensorRT optimization is a strong plus
• Familiarity with models like U²-Net, MODNet, StyleGAN, or similar
Deliverables:
• Backend code for all three AI features
• REST API endpoints
• Setup & integration documentation
• (Optional) Basic web UI for internal testing
If you have experience in image AI development and can deliver a high-performance, production-ready solution, please reach me out.
Related categories:
Python
Machine Learning (ML)
OpenCV
Tensorflow
Pytorch
Computer Vision
FastAPI
AI Image Editing
StyleGAN
AI Development