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I will fine tune hugging face vision and multimodal ai models
Amin Rafaey
Level 2
About this gig
CUSTOM COMPUTER VISION MODELS
- 40+ custom vision models delivered with 95%+ precision
- Rapid turnaround from dataset audit to production-ready weights
THE PROBLEM
Generic vision models often struggle with niche business imagery, defect detection, document routing, and specialized classification.
THE SOLUTION
We fine-tune Hugging Face vision & multimodal models such as ViT, CLIP, LLaVA & BLIP on your proprietary datasets to automate visual workflows.
WHAT WE DELIVER
- Dataset audit & classification metric setup
- LoRA/QLoRA model fine-tuning
- Accuracy benchmarking & evaluation reports
- Production model weights & API scripts
- Python, PyTorch, FastAPI & Docker integration
WHY TKTURNERS
Production-focused AI engineering with secure data handling, reproducible evaluation, and deployment guidance.
FREE VISION AUDIT
Message before ordering for a free 15-minute dataset & architecture audit.
Get to know Amin Rafaey
Amin Rafaey
Senior Software Engineer
Level 2
- FromPakistan
- Member sinceJul 2019
- Avg. response time1 hour
- Last delivery2 months
Languages
Hindi, English, German, Arabic
I am passionate about helping companies grow and thrive. With a versatile skill set that ranges from providing exceptional technical support to tackling a variety of challenges, I am dedicated to contributing wherever I can to ensure success. Let's work together to take your business to the next level.
My Portfolio
Other AI Development Services I Offer
FAQ
What vision and multimodal architectures do you support?
We fine-tune popular Hugging Face vision and multimodal models including Vision Transformers (ViT, Swin, BEiT), CLIP, BLIP, LLaVA, and convolutional architectures like ConvNeXt and ResNet.
What data formats do I need to provide for training?
We accept organized folder structures (class-based folders), CSV/JSON metadata mappings with image URLs or files, COCO formats, YOLO annotations, or Hugging Face Datasets format.
Who covers GPU compute and training expenses?
Clients provide access to their cloud GPU environment (Google Colab Pro, RunPod, AWS SageMaker, Lambda Labs, or Hugging Face Spaces). We can also train on our infrastructure for an agreed compute fee.
Are third-party API or cloud hosting fees included?
No, third-party infrastructure and cloud hosting subscriptions are paid directly by the client to the respective provider.
How is my private dataset and business data protected?
Your data remains strictly confidential. We sign NDAs upon request, train in isolated environments, and delete all working copies of client datasets immediately upon order completion.
What deliverables will I receive upon project completion?
Depending on the package, you receive the fine-tuned model checkpoint/weights, training & validation loss curves, evaluation metrics (accuracy/F1), Python inference scripts, and Dockerized API code.
What is your revision policy?
Revisions cover hyperparameter adjustments, evaluation threshold tuning, and inference script tweaks within the original agreed project scope.
Can you integrate the fine-tuned model into my existing app?
Yes! We build production-ready REST APIs (FastAPI/Flask) and integrate vision models directly into Next.js, Node.js, and web/mobile frontends.
Do you provide post-delivery maintenance and monitoring?
Premium packages include 14 days of post-delivery support. We also provide monthly retainers for continuous model re-training and drift monitoring.
Should I message you before placing an order?
Yes, please message us first so we can review your dataset size, classes, and target accuracy to confirm the best package and architecture for your project.
