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.
  ☆29Updated last year
• LHBuilder / SA-Segment-Anything
  Vision-oriented multimodal AI
  ☆49Updated last year
• XiaoduoAILab / XmodelVLM
  ☆69Updated last year
• NVlabs / STL
  Official Pytorch Implementation of Self-emerging Token Labeling
  ☆35Updated last year
• kyegomez / VisionLLaMA
  Implementation of VisionLLaMA from the paper: "VisionLLaMA: A Unified LLaMA Interface for Vision Tasks" in PyTorch and Zeta
  ☆16Updated 10 months ago
• autodistill / autodistill-florence-2
  Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
  ☆67Updated last year
• SkalskiP / SoM
  Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️
  ☆88Updated last year
• lancedb / yoloexplorer
  YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds
  ☆135Updated 2 weeks ago
• alenic / timm-models-explorer
  Timm model explorer
  ☆41Updated last year
• apple / ml-mofi
  ☆59Updated last year
• Shengcao-Cao / HASSOD
  [NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
  ☆58Updated last year
• autodistill / autodistill-efficient-yolo-world
  EfficientSAM + YOLO World base model for use with Autodistill.
  ☆10Updated 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.
  ☆128Updated last year
• autodistill / autodistill-grounded-sam
  GroundedSAM Base Model plugin for Autodistill
  ☆52Updated last year
• huggingface / pixparse
  Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data
  ☆21Updated 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
• SkalskiP / gradio_image_annotator
  A component that allows you to annotate an image with points and boxes.
  ☆21Updated last year
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated last year
• roboflow / inference-client
  ☆15Updated last year
• capjamesg / sam-clip
  Use Grounding DINO, Segment Anything, and CLIP to label objects in images.
  ☆31Updated last year
• kyegomez / MC-ViT
  Implementation of the model: "(MC-ViT)" from the paper: "Memory Consolidation Enables Long-Context Video Understanding"
  ☆23Updated last week
• autodistill / autodistill-sam-clip
  SAM-CLIP module for use with Autodistill.
  ☆15Updated last year
• elsevierlabs-os / clip-image-search
  Fine-tuning OpenAI CLIP Model for Image Search on medical images
  ☆77Updated 3 years ago
• togethercomputer / Dragonfly
  ☆79Updated 10 months ago
• gregor-ge / mBLIP
  ☆87Updated last year
• basilevh / tcow
  Tracking through Containers and Occluders in the Wild (CVPR 2023) - Official Implementation
  ☆41Updated last year
• SHI-Labs / OLA-VLM
  OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation, arXiv 2024
  ☆61Updated 6 months ago
• RobinGerster7 / OSSA
  ☆24Updated 11 months ago
• DCDmllm / HyperLLaVA
  Pytorch implementation of HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
  ☆28Updated last year
• poloclub / ClickDiffusion
  ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
  ☆70Updated last year