robert-mcdermott/LLM-Image-Classification
Image Classification Testing with LLMs
This project explores using advanced AI models (multimodal LLMs) to categorize images based on their content, moving beyond traditional methods that just analyze visual features. It takes an image as input and outputs a classification (e.g., 'cat', 'dog', 'number 7'). This would be used by data scientists or machine learning practitioners looking to leverage open-source, vision-enabled language models for image sorting and content identification.
No commits in the last 6 months.
Use this if you are a data scientist exploring the capabilities of open-source multimodal large language models for image classification and want to understand their current out-of-the-box performance.
Not ideal if you need highly accurate, production-ready image classification for specific categories, as this model shows limitations in accuracy for certain types of images without fine-tuning.
Stars
72
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/robert-mcdermott/LLM-Image-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kenhktsui/anyclassifier
One Line To Build Zero-Data Classifiers in Minutes
palewire/first-llm-classifier
Learn how journalists use large-language models to organize and analyze massive datasets
AnasMohammad4321/BERT-Pytorch
Comprehensive BERT model training and visualization, detailing pre-training, fine-tuning, and...
Mahesh3394/clinical_text_classification
Text classification with fine tuned LLM model. Bert model fine tuned on created dataset.
sabrinaherbst/distilbert_question_answering
Implements a Q&A ML model usuing DistilBERT.