SkalskiP / fashion-assistantLinks
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 images. We pass the prompt, along with the extracted features, to LLM, allowing for advanced image dataset queries.
☆116Updated 2 years ago
Alternatives and similar repositories for fashion-assistant
Users that are interested in fashion-assistant are comparing it to the libraries listed below
Sorting:
- Use Grounding DINO, Segment Anything, and GPT-4V to label images with segmentation masks for use in training smaller, fine-tuned models.☆65Updated last year
- YOLOExplorer : Iterate on your YOLO / CV datasets using SQL, Vector semantic search, and more within seconds☆134Updated this week
- ☆25Updated last year
- Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…☆37Updated last year
- EdgeSAM model for use with Autodistill.☆29Updated last year
- Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!☆149Updated 2 years ago
- Deep Learning and Computer Vision Applications using Streamlit☆78Updated 3 years ago
- Vehicle speed estimation using YOLOv8☆30Updated last year
- ☆15Updated last year
- ☆60Updated last year
- Flask-based web application designed to compare text and image embeddings using the CLIP model.☆22Updated last year
- Using efficientnet to provide embeddings for retrieval☆159Updated 2 years ago
- Use Florence 2 to auto-label data for use in training fine-tuned object detection models.☆67Updated last year
- A curated list of papers that released datasets along with their work☆126Updated 11 months ago
- Using open-source LLM Llama2 by Meta on local CPU inference for document question-and-answer☆15Updated 2 years ago
- Stable Fashion: A prompt based virtual try on repository☆88Updated 2 years ago
- GPT-4V(ision) module for use with Autodistill.☆25Updated last year
- Official Code for Tracking Any Object Amodally☆119Updated last year
- AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions☆248Updated 10 months ago
- Eye exploration☆29Updated 7 months ago
- Accurately locating each head's position in the crowd scenes is a crucial task in the field of crowd analysis. However, traditional densi…☆21Updated last year
- Passively collect images for computer vision datasets on the edge.☆35Updated last year
- ☆68Updated 5 months ago
- An SDK for Transformers + YOLO and other SSD family models☆63Updated 8 months ago
- Skynet☆86Updated 2 years ago
- 100 Days of GPU Challenge☆23Updated last month
- Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.☆132Updated last year
- ☆54Updated 2 years ago
- Notebooks using the Neural Magic libraries 📓☆39Updated last year
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆69Updated 5 months ago