Automatic generation of descriptive radiological reports from X-RAY scans
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Updated
Jun 5, 2024 - Python
Automatic generation of descriptive radiological reports from X-RAY scans
The BlipProcessor and BlipForConditionalGeneration are likely classes specific to a model called "Blip," which seems to be a transformer-based model for conditional text generation.
Display an image and text file side-by-side for easy manual caption editing.
wd14 tagger app with UI
Basic image recognition application using Gemini Vision Pro and also gets some cool captions for Instagram
A tool for downloading from public image boards (which allow scraping) / preview your images & tags / edit your images & tags. Additional tabs for downloading other desired code repositories as well as S.O.T.A. diffusion and auto-tag/caption models for your purposes. Custom datasets can be added!
Image caption generation using neural network
oCaption: Leveraging OpenAI's GPT-4 Vision for Advanced Image Captioning
E-commerce fashion assistant with Chatgpt, Hugging Face, Ltree and Pgvector.
Streamlit application for Geosciences Image Labeling (Category and caption)
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation. CVPR 2023
This is a Python script that uses OpenAI’s language model to create image captions. It prompts the user to enter image URLs, loads the captions into memory, creates an index, and searches for captions that match a user query. An OpenAI API key is required.
image tagging and captioning through mmdetection and BLIP
caption generator using lavis and argostranslate
A QT5 GUI to assist in captioning images for stablediffusion
Meshed-Memory Transformer for Image Captioning. CVPR 2020
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
Aid for blinds. This AI will describe the surrounding, it will tell who is in front of him (if that person is a known person to AI using Facial Recognition) and it will also help him to know what is written (Optical Character Recognition)
Aid for blinds. This AI will describe the surrounding, it will tell who is in front of him (if that person is a known person to AI using Facial Recognition) and it will also help him to know what is written (Optical Character Recognition)
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