autodistill / autodistill-grounded-sam-2Links
Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
☆132Updated last year
Alternatives and similar repositories for autodistill-grounded-sam-2
Users that are interested in autodistill-grounded-sam-2 are comparing it to the libraries listed below
Sorting:
- Official Code for Tracking Any Object Amodally☆120Updated last year
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆67Updated last year
- [ICCV2025] Referring any person or objects given a natural language description. Code base for RexSeek and HumanRef Benchmark☆167Updated last week
- YOLO-World + EfficientViT SAM☆106Updated last year
- EdgeSAM model for use with Autodistill.☆29Updated last year
- [NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection☆58Updated last year
- [ECCV 2024 & NeurIPS 2024] Official implementation of the paper TAPTR & TAPTRv2 & TAPTRv3☆266Updated 10 months ago
- Codebase for the Recognize Anything Model (RAM)☆85Updated last year
- ☆44Updated 8 months ago
- [ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces☆237Updated 8 months ago
- SSA + FastSAM/Semantic Fast Segment Anything , or Fast Semantic Segment Anything☆107Updated 4 months ago
- ☆25Updated last year
- Python scripts performing optical flow estimation using the NeuFlowV2 model in ONNX.☆50Updated last year
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆37Updated 2 years ago
- Image Prompter for Gradio☆91Updated last year
- Official Code for "MITracker: Multi-View Integration for Visual Object Tracking"☆108Updated 4 months ago
- Odd-One-Out: Anomaly Detection by Comparing with Neighbors (CVPR25)☆49Updated 10 months ago
- [ICLR 2025 oral] RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything☆261Updated 6 months ago
- Pytorch Implementation of "SMITE: Segment Me In TimE" (ICLR 2025)☆211Updated 6 months ago
- This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point …☆173Updated 2 years ago
- RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)☆361Updated last year
- [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim☆343Updated last month
- ☆78Updated 6 months ago
- Detect Anything via Next Point Prediction (Based on Qwen2.5-VL-3B)☆466Updated last week
- ☆33Updated last week
- Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and …☆41Updated 6 months ago
- Muggled SAM: Segmentation without the magic☆166Updated last month
- AutoTrackAnything is a universal, flexible and interactive tool for insane automatic object tracking over thousands of frames. It is deve…☆88Updated last year
- Official code for CAVIS: Context-Aware Video Instance Segmentation☆91Updated last month
- [CVPR 2025 Highlight] Official repository for the paper: "SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation"☆331Updated last month