Fine-Tuning Vision or Multimodal AI Models (CLIP, ViT)

I will fine-tune your vision or multimodal AI models (such as CLIP, ViT, or ResNet) to deliver high-accuracy performance across image, video, and text-based datasets. This includes data preprocessing, augmentation, and domain adaptation for your specific use case.

Whether you’re building an image classification system, product search engine, or multimodal recognition tool, I ensure the model generalizes effectively while remaining efficient and lightweight.

The result is a reliable, deployable AI model capable of performing at production-grade accuracy levels across varied datasets and environments.