Alternatives and similar repositories for cvevals

Users that are interested in cvevals are comparing it to the libraries listed below

• autodistill / autodistill-grounded-edgesam
  EdgeSAM model for use with Autodistill.
  ☆27Updated last year
• autodistill / autodistill-florence-2
  Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
  ☆65Updated 11 months ago
• LHBuilder / SA-Segment-Anything
  Vision-oriented multimodal AI
  ☆49Updated last year
• alenic / timm-models-explorer
  Timm model explorer
  ☆41Updated last year
• lancedb / yoloexplorer
  YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds
  ☆133Updated 3 weeks ago
• apple / ml-mofi
  ☆59Updated last year
• XiaoduoAILab / XmodelVLM
  ☆69Updated last year
• autodistill / autodistill-gpt-4v
  GPT-4V(ision) module for use with Autodistill.
  ☆26Updated last year
• autodistill / autodistill-grounded-sam-2
  Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
  ☆126Updated 11 months ago
• NVlabs / STL
  Official Pytorch Implementation of Self-emerging Token Labeling
  ☆35Updated last year
• autodistill / autodistill-sam-clip
  SAM-CLIP module for use with Autodistill.
  ☆15Updated last year
• SkalskiP / SoM
  Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️
  ☆87Updated last year
• basilevh / tcow
  Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation
  ☆41Updated last year
• huggingface / pixparse
  Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data
  ☆21Updated last year
• kyegomez / VisionLLaMA
  Implementation of VisionLLaMA from the paper: "VisionLLaMA: A Unified LLaMA Interface for Vision Tasks" in PyTorch and Zeta
  ☆16Updated 8 months ago
• autodistill / autodistill-efficient-yolo-world
  EfficientSAM + YOLO World base model for use with Autodistill.
  ☆10Updated last year
• visual-layer / visuallayer
  Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …
  ☆70Updated 2 months ago
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 10 months ago
• capjamesg / sam-clip
  Use Grounding DINO, Segment Anything, and CLIP to label objects in images.
  ☆31Updated last year
• Shengcao-Cao / HASSOD
  [NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
  ☆57Updated last year
• gregor-ge / mBLIP
  ☆86Updated last year
• autodistill / autodistill-grounded-sam
  GroundedSAM Base Model plugin for Autodistill
  ☆51Updated last year
• capjamesg / sam-gpt4v
  Use Grounding DINO, Segment Anything, and GPT-4V to label images with segmentation masks for use in training smaller, fine-tuned models.
  ☆66Updated last year
• SHI-Labs / OLA-VLM
  OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation, arXiv 2024
  ☆60Updated 5 months ago
• Expedit-LargeScale-Vision-Transformer / Expedit-SAM
  [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fi…
  ☆85Updated last year
• elsevierlabs-os / clip-image-search
  Fine-tuning OpenAI CLIP Model for Image Search on medical images
  ☆76Updated 3 years ago
• deep-diver / LoRA-deployment
  LoRA fine-tuned Stable Diffusion Deployment
  ☆31Updated 2 years ago
• roboflow / inference-client
  ☆14Updated last year
• apple / ml-tic-clip
  Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".
  ☆102Updated last year
• jacobmarks / zero-shot-prediction-plugin
  Run zero-shot prediction models on your data
  ☆33Updated 7 months ago