Visual Target Detection

General Introduction Trackers is an open source Python tool library focused on multi-object tracking in video. It integrates several leading tracking algorithms, such as SORT and DeepSORT, and allows users to combine different object detection models (such as YOLO...

General Introduction Describe Anything is an open source project developed by NVIDIA and several universities, with the Describe Anything Model (DAM) at its core. This tool can be based on the user in the image or video tagged...

General Introduction Find My Kids is an open source project hosted on GitHub and created by developer Tomer Klein. It combines DeepFace face recognition technology and the WhatsApp Green API...

General Introduction YOLOE is an open source project developed by the Multimedia Intelligence Group (THU-MIG) at Tsinghua University School of Software, with the full name "You Only Look Once Eye". It is based on the PyTorch framework, which belongs to the YOLO series of extensions ...

General Introduction SegAnyMo is an open source project developed by a team of researchers at UC Berkeley and Peking University, including members such as Nan Huang. This tool focuses on video processing and can automatically recognize and segment arbitrary moving objects in a video, such as people, animals or...

Comprehensive Introduction RF-DETR is an open source object detection model developed by the Roboflow team. It is based on the Transformer architecture and its core feature is real-time efficiency. For the first time, the model achieves more than 60 APs of real-time on the Microsoft COCO dataset...

General Introduction HumanOmni is an open source multimodal big model developed by the HumanMLLM team and hosted on GitHub. It focuses on analyzing human videos and can process both picture and sound to help understand emotions, actions, and conversational content. The project used 2...

General Introduction Vision Agent is an open source project developed by LandingAI (Team Enda Wu) and hosted on GitHub, designed to help users quickly generate code to solve computer vision tasks. It utilizes an advanced agent framework and multimodal modeling...

General Introduction Make Sense is a free online image annotation tool designed to help users quickly prepare datasets for computer vision projects. It requires no complicated installation, just open a browser access to use it, supports multiple operating systems, and is perfect for small deep learning projects. Users can...

Comprehensive introduction YOLOv12 is an open source project developed by GitHub user sunsmarterjie , focusing on real-time target detection technology . The project is based on YOLO (You Only Look Once) series of frameworks , the introduction of note ...

Comprehensive Introduction VLM-R1 is an open source visual language modeling project developed by Om AI Lab and hosted on GitHub. The project is based on DeepSeek's R1 approach, combined with the Qwen2.5-VL model through reinforcement learning...

Comprehensive Introduction HealthGPT is a state-of-the-art medical grand visual language model designed to enable unified medical visual understanding and generation capabilities through heterogeneous knowledge adaptation. The goal of the project is to integrate medical visual understanding and generation capabilities into a unified autoregressive framework that significantly improves the medical graph...

Comprehensive Introduction MedRAX is a state-of-the-art AI intelligence designed for chest radiograph (CXR) analysis. It integrates state-of-the-art CXR analysis tools and multimodal large language models to dynamically process complex medical queries without additional training.MedRAX, through its modular design...

Comprehensive Introduction Agentic Object Detection is an advanced target detection tool by Landing AI. The tool performs detection through text prompts, eliminating the need for data annotation and model training, greatly simplifying the process of traditional target detection...

Comprehensive Introduction CogVLM2 is an open source multimodal model developed by the Tsinghua University Data Mining Research Group (THUDM), based on the Llama3-8B architecture, and designed to provide performance comparable to or even better than GPT-4V. The model supports image understanding, multi-round dialogs, and visual ...

Synthesis Gaze-LLE is a gaze target prediction tool based on a large-scale learning encoder. It was developed by Fiona Ryan, Ajay Bati, Sangmin Lee, Daniel Bolya, Judy Hoffman, and J...

Comprehensive Introduction Video Analyzer (Video Analyzer) is a comprehensive video analysis tool that combines computer vision, audio transcription and natural language processing techniques to generate detailed video content descriptions. The tool transcribes audio content by extracting key frames in the video...

General Introduction Twelve Labs is a multimodal AI company focused on video understanding, dedicated to helping users understand and process large amounts of video content through advanced AI technologies. Its core technologies include video search, generation, and embedding, which are able to extract key features from video such as actions, objects...