There are 0 repository under florence-2 topic.
streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
Rem-WM, a powerful watermark remover tool that leverages the capabilities of Microsoft Florence and Lama Cleaner models.
Florence-2 is a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks.
Run SOTA Vision-Language Model Florence-2 on your data!
AI-Powered Watermark Remover using Florence-2 and LaMA Models: A Python application leveraging state-of-the-art deep learning models to effectively remove watermarks from images with a user-friendly PyQt6 interface.
Simple Video Summarization using Text-to-Segment Anything (Florence2 + SAM2) This project provides a video processing tool that utilizes advanced AI models, specifically Florence2 and SAM2, to detect and segment specific objects or activities in a video based on textual descriptions.
The Ultimate Local LLM Discord Bot!!!
Microsoft の軽量VLMのFlorence-2のColaboratory上でのサンプル
TextSnap: Demo for Florence 2 model used in OCR tasks to extract and visualize text from images.
ecko-cli is a simple CLI tool that streamlines the process of processingimages in a directory, generating captions, and saving them as text files. Additionally, it provides functionalities to create a JSONL file from images in the directory you specify. Images will be captioned using the Microsoft Florence-2-large model and the ONNX Runtime engine.
Various image processing scripts.
This project implements an advanced generative AI pipeline for extracting and rating features from images. It combines the power of Florence-2, a state-of-the-art vision-language model, with a fine-tuned version of Mistral-v3, a cutting-edge large language model.
Florence-2 quick test
The Power of Florence-2 with OpenVINO & FiftyOne: Real-World Applications in Image Analysis