KeremTurgutlu/clip_art
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification - 4th Workshop on Computer Vision for Fashion, Art, and Design
This helps art historians, curators, and researchers accurately identify and categorize artworks based on their subtle features. You can input art images and associated textual descriptions, and it outputs precise classifications or helps you find similar artworks even without explicit labels. It's designed for anyone needing to analyze and organize large collections of art.
No commits in the last 6 months.
Use this if you need to classify artworks by style, artist, period, or other fine-grained attributes, or retrieve specific art pieces from a large collection using natural language descriptions.
Not ideal if your primary goal is general object recognition in non-artistic images or if you don't have a focus on fine-grained visual distinctions within art.
Stars
28
Forks
2
Language
—
License
MIT
Category
Last pushed
May 02, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KeremTurgutlu/clip_art"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlfoundations/open_clip
An open source implementation of CLIP.
noxdafox/clipspy
Python CFFI bindings for the 'C' Language Integrated Production System CLIPS
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
moein-shariatnia/OpenAI-CLIP
Simple implementation of OpenAI CLIP model in PyTorch.
BioMedIA-MBZUAI/FetalCLIP
Official repository of FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis