Fine-tuning Florence-2: Microsoft's Multimodal Model for Custom Object Detection

Unlock the power of Microsoft's Florence-2, a cutting-edge open-source Vision Language Model, for custom object detection tasks in this comprehensive 26-minute tutorial. Dive into the process of fine-tuning Florence-2 using Google Colab, from setting up your environment to preparing datasets and optimizing the model with LoRA. Explore the pre-trained capabilities of Florence-2, master PyTorch data loading techniques, and learn how to unleash its potential for custom object detection. Evaluate your fine-tuned model's performance and compare Florence-2 with other computer vision models. Gain access to valuable resources, including GitHub notebooks, blog posts, and a Hugging Face Space for hands-on practice. Join the upcoming community session to further enhance your skills and stay updated with the latest developments in the field of computer vision and machine learning.