autodistill / autodistill-grounded-sam
GroundedSAM Base Model plugin for Autodistill
☆45Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for autodistill-grounded-sam
- EdgeSAM model for use with Autodistill.☆25Updated 5 months ago
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆34Updated last year
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆59Updated 3 months ago
- Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.☆95Updated 3 months ago
- DETIC module for use with Autodistill.☆13Updated 11 months ago
- [NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection☆52Updated 9 months ago
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆67Updated last year
- SAM-CLIP module for use with Autodistill.☆12Updated last year
- autoAnnoter its a tool to auto annotate data using a exisiting models☆43Updated 3 months ago
- Compare Savant and PyTorch performance☆13Updated 9 months ago
- Official code repository for paper: "ExPLoRA: Parameter-Efficient Extended Pre-training to Adapt Vision Transformers under Domain Shifts"☆24Updated last month
- Run zero-shot prediction models on your data☆30Updated 5 months ago
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆124Updated 2 weeks ago
- Use Grounding DINO, Segment Anything, and GPT-4V to label images with segmentation masks for use in training smaller, fine-tuned models.☆65Updated last year
- Our idea is to combine the power of computer vision model and LLMs. We use YOLO, CLIP and DINOv2 to extract high-level features from imag…☆100Updated last year
- FiftyOne Plugin for finding common image quality issues☆29Updated last month
- ☆13Updated 11 months ago
- Passively collect images for computer vision datasets on the edge.☆26Updated last year
- MobileSAM already integrated into Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds☆34Updated last year
- Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.☆47Updated this week
- an empirical study on few-shot counting using segment anything (SAM)☆84Updated last year
- Code of paper "A new baseline for edge detection: Make Encoder-Decoder great again"☆30Updated 2 weeks ago
- Heatmap Learner Convolutional Neural Network for Object Counting and Localization☆42Updated 9 months ago
- Object tracking pipelines complete with YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking☆71Updated 8 months ago
- ☆29Updated last month
- Image Prompter for Gradio☆74Updated 11 months ago
- Fine-tuning OpenAI CLIP Model for Image Search on medical images☆74Updated 2 years ago
- YOLOv8 Target Model plugin for Autodistill☆42Updated last year
- Vision Transformers for image classification, image segmentation, and object detection.☆43Updated last month
- Image Instance Segmentation - Zero Shot - OpenAI's CLIP + Meta's SAM☆59Updated last year