roboflow / model-leaderboardLinks
Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.
☆91Updated last week
Alternatives and similar repositories for model-leaderboard
Users that are interested in model-leaderboard are comparing it to the libraries listed below
Sorting:
- Creation of annotated datasets from scratch using Generative AI and Foundation Computer Vision models☆129Updated last month
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆135Updated last week
- An SDK for Transformers + YOLO and other SSD family models☆64Updated 9 months ago
- Ultralytics GitHub Actions☆51Updated last week
- A tool for converting computer vision label formats.☆76Updated this week
- Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"☆98Updated last month
- Inference and fine-tuning examples for vision models from 🤗 Transformers☆162Updated 3 months ago
- A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson☆218Updated last year
- A high-performance library for detecting objects in images and videos, leveraging Rust's speed and safety. Optionally supports a gRPC API…☆32Updated 6 months ago
- ☆193Updated 5 months ago
- Fine tune Gemma 3 on an object detection task☆88Updated 4 months ago
- This repo is a packaged version of the Yolov9 model.☆87Updated last week
- Solving Computer Vision with AI agents☆34Updated 4 months ago
- Notebooks for fine tuning pali gemma☆117Updated 6 months ago
- autoAnnoter its a tool to auto annotate data using a exisiting models☆45Updated last year
- GroundedSAM Base Model plugin for Autodistill☆52Updated last year
- DEIMKit is a Python package that provides a wrapper for DEIM: DETR with Improved Matching for Fast Convergence. Check out the original re…☆98Updated 7 months ago
- Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets☆283Updated last year
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆67Updated last year
- Testing and evaluating the capabilities of Vision-Language models (PaliGemma) in performing computer vision tasks such as object detectio…☆84Updated last year
- ☆77Updated last month
- Eye exploration☆29Updated 9 months ago
- An ONNX-based implementation of the CLIP model that doesn't depend on torch or torchvision.☆75Updated last year
- From scratch implementation of a vision language model in pure PyTorch☆248Updated last year
- Use Grounding DINO, Segment Anything, and CLIP to label objects in images.☆33Updated last year
- auto_labeler - An all-in-one library to automatically label vision data☆18Updated 9 months ago
- Lightweight, open-source, high-performance Yolo implementation☆51Updated 5 months ago
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆37Updated 2 years ago
- ☆104Updated 3 weeks ago
- Take your LLM to the optometrist.☆41Updated 3 months ago