luxonis / modelsLinks
Repository of lightweight models for classification, object detection, segmentation and more. Deployable to OAK-D, OpenVINO, and ONNX.
☆16Updated last year
Alternatives and similar repositories for models
Users that are interested in models are comparing it to the libraries listed below
Sorting:
- Luxonis ML library which abstracts logging, tracking, and other useful functionalities.☆15Updated 3 weeks ago
- ☆14Updated last year
- GroundedSAM Base Model plugin for Autodistill☆51Updated last year
- Compare Savant and PyTorch performance☆13Updated last year
- Creation of annotated datasets from scratch using Generative AI and Foundation Computer Vision models☆123Updated this week
- Training framework for easy creation, training and exporting of deep learning models.☆19Updated this week
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆133Updated 3 weeks ago
- Conversion tools for YOLO models to use on OAK cameras☆32Updated 3 weeks ago
- Passively collect images for computer vision datasets on the edge.☆35Updated last year
- An SDK for Transformers + YOLO and other SSD family models☆63Updated 7 months ago
- Run zero-shot prediction models on your data☆34Updated 8 months ago
- Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.☆127Updated last year
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆67Updated 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.☆87Updated this week
- A tool for converting computer vision label formats.☆71Updated 4 months ago
- Object tracking pipelines complete with RF-DETR, YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking☆79Updated 2 months ago
- EdgeSAM model for use with Autodistill.☆27Updated last year
- A project demonstrating how to make DeepStream docker images.☆82Updated 8 months ago
- A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.☆48Updated 2 years ago
- A component that allows you to annotate an image with points and boxes.☆21Updated last year
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆36Updated last year
- Lightweight, open-source, high-performance Yolo implementation☆42Updated 2 months ago
- Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"☆76Updated 2 months ago
- A reference example for integrating NanoOwl with Metropolis Microservices for Jetson☆30Updated last year
- An ONNX-based implementation of the CLIP model that doesn't depend on torch or torchvision.☆73Updated last year
- ☆24Updated 10 months ago
- YOLOv8 Target Model plugin for Autodistill☆44Updated last year
- [ICCV 2023] ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking☆160Updated last year
- Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected …☆19Updated 10 months ago
- Flask-based web application designed to compare text and image embeddings using the CLIP model.☆22Updated last year