roboflow / cvevals
Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, models hosted on Roboflow)
☆35Updated last year
Alternatives and similar repositories for cvevals:
Users that are interested in cvevals are comparing it to the libraries listed below
- EdgeSAM model for use with Autodistill.☆26Updated 10 months ago
- ☆14Updated last year
- GroundedSAM Base Model plugin for Autodistill☆49Updated 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.☆70Updated last week
- Implementation of VisionLLaMA from the paper: "VisionLLaMA: A Unified LLaMA Interface for Vision Tasks" in PyTorch and Zeta☆16Updated 5 months ago
- Official Pytorch Implementation of Self-emerging Token Labeling☆33Updated last year
- SAM-CLIP module for use with Autodistill.☆15Updated last year
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆63Updated 8 months ago
- Vision-oriented multimodal AI☆49Updated 10 months ago
- Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data☆21Updated 9 months ago
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆68Updated last year
- ☆58Updated last year
- MetaCLIP module for use with Autodistill.☆21Updated last year
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆126Updated 3 weeks ago
- Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.☆120Updated 8 months ago
- ☆23Updated 6 months ago
- GPT-4V(ision) module for use with Autodistill.☆26Updated 9 months ago
- [NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection☆56Updated last year
- The open source implementation of "NeVA: NeMo Vision and Language Assistant"☆18Updated last year
- Run zero-shot prediction models on your data☆32Updated 4 months ago
- ☆68Updated 10 months ago
- Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️☆86Updated last year
- LoRA fine-tuned Stable Diffusion Deployment☆31Updated 2 years ago
- A public implementation of the ReLoRA pretraining method, built on Lightning-AI's Pytorch Lightning suite.☆33Updated 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…☆115Updated last year
- My personal implementation of the model from "Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities", they haven't rel…☆13Updated last year
- Odd-One-Out: Anomaly Detection by Comparing with Neighbors (CVPR25)☆35Updated 5 months ago
- Timm model explorer☆39Updated last year
- Pytorch implementation of HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models☆28Updated last year
- Official code repository for paper: "ExPLoRA: Parameter-Efficient Extended Pre-training to Adapt Vision Transformers under Domain Shifts"☆31Updated 7 months ago