facebookresearch / sam2Links
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
☆17,432Updated 10 months ago
Alternatives and similar repositories for sam2
Users that are interested in sam2 are comparing it to the libraries listed below
Sorting:
- Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and …☆17,076Updated last year
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoi…☆52,323Updated last year
- PyTorch code and models for the DINOv2 self-supervised learning method.☆11,780Updated 2 months ago
- [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation☆7,819Updated last year
- [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"☆9,128Updated last year
- Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2☆2,955Updated this week
- Fast Segment Anything☆8,118Updated last year
- SAM with text prompt☆2,441Updated 2 months ago
- Segment Anything in High Quality [NeurIPS 2023]☆4,098Updated last month
- An open source implementation of CLIP.☆12,825Updated last month
- Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"☆6,978Updated 7 months ago
- Reference PyTorch implementation and models for DINOv3☆7,965Updated this week
- Efficient vision foundation models for high-resolution generation and perception.☆3,112Updated last month
- EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything☆2,434Updated 10 months ago
- [CVPR 2024] Real-Time Open-Vocabulary Object Detection☆5,947Updated 8 months ago
- [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation☆6,897Updated 9 months ago
- This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!☆5,445Updated 11 months ago
- [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"☆2,755Updated 3 months ago
- [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"☆4,734Updated last year
- Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.☆4,943Updated 6 months ago
- YOLOE: Real-Time Seeing Anything [ICCV 2025]☆1,857Updated 4 months ago
- Images to inference with no labeling (use foundation models to train supervised models).☆2,428Updated 5 months ago
- Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).☆2,288Updated 2 years ago
- CoTracker is a model for tracking any point (pixel) on a video.☆4,638Updated 9 months ago
- An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary alg…☆3,063Updated last year
- Open-source and strong foundation image recognition models.☆3,459Updated 8 months ago
- Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!☆2,882Updated 5 months ago
- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.☆31,383Updated last week
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.☆23,870Updated last year
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆31,236Updated last year