Alternatives and similar repositories for Indofashionclip

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

• damian0815 / finetune-clip-huggingface
  Finetuning CLIP on a small image/text dataset using huggingface libs
  ☆50Updated 2 years ago
• autodistill / autodistill-grounded-sam
  GroundedSAM Base Model plugin for Autodistill
  ☆51Updated last year
• PhyscalX / gradio-image-prompter
  Image Prompter for Gradio
  ☆92Updated last year
• LexTypeC / smlr
  A Simple Image Clustering Script using CLIP and Hierarchial Clustering
  ☆38Updated 2 years ago
• elsevierlabs-os / clip-image-search
  Fine-tuning OpenAI CLIP Model for Image Search on medical images
  ☆77Updated 3 years ago
• karasawatakumi / pytorch-image-classification
  Simple image classification for custom dataset (pytorch-lightning, timm)
  ☆28Updated 2 years ago
• SkalskiP / gradio_image_annotator
  A component that allows you to annotate an image with points and boxes.
  ☆21Updated last year
• Curt-Park / segment-anything-with-clip
  Segment Anything combined with CLIP
  ☆346Updated last year
• FoundationVision / UniRef
  [ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces
  ☆238Updated 6 months ago
• merveenoyan / siglip
  Projects based on SigLIP (Zhai et. al, 2023) and Hugging Face transformers integration 🤗
  ☆272Updated 6 months ago
• jmisilo / clip-gpt-captioning
  CLIPxGPT Captioner is Image Captioning Model based on OpenAI's CLIP and GPT-2.
  ☆117Updated 6 months ago
• 5663015 / segment_anything_webui
  A simple Segment Anything WebUI based on Gradio.
  ☆81Updated 2 years ago
• autodistill / autodistill-detic
  DETIC module for use with Autodistill.
  ☆14Updated last year
• feizc / IEA
  Image Editing Anything
  ☆116Updated 2 years ago
• jamesjg / FoodSAM
  FoodSAM: Any Food Segmentation
  ☆162Updated last year
• sehyunkwon / ICTC
  This is a public repository for Image Clustering Conditioned on Text Criteria (IC|TC)
  ☆91Updated last year
• roboflow / cvevals
  Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…
  ☆36Updated last year
• autodistill / autodistill-grounded-edgesam
  EdgeSAM model for use with Autodistill.
  ☆27Updated last year
• google / imageinwords
  Data release for the ImageInWords (IIW) paper.
  ☆218Updated 9 months ago
• sergiuoprea / clip_with_few_shots
  Few shot recognition using CLIP's OpenAI architecture.
  ☆35Updated 4 years ago
• RockeyCoss / Prompt-Segment-Anything
  This is an implementation of zero-shot instance segmentation using Segment Anything.
  ☆314Updated 2 years ago
• autodistill / autodistill-florence-2
  Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
  ☆67Updated last year
• zer0int / CLIP-fine-tune
  Fine-tuning code for CLIP models
  ☆250Updated last month
• poloclub / ClickDiffusion
  ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
  ☆69Updated 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
• Yuqifan1117 / Labal-Anything-Pipeline
  Baby-DALL3: Annotation anything in visual tasks and Generate anything just all in one-pipeline with GPT-4 (a small baby of DALL·E 3).
  ☆83Updated last year
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆246Updated 7 months ago
• Shengcao-Cao / HASSOD
  [NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
  ☆57Updated last year
• ABaldrati / CLIP4Cir
  [ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
  ☆181Updated last year
• fcakyon / video-transformers
  Easiest way of fine-tuning HuggingFace video classification models
  ☆142Updated 2 years ago