Tag furry images using thresholds
Extract text from ID cards
UniChart finetuned on the ChartQA dataset
MoonDream 2 Vision Model on the Browser: Candle/Rust/WASM
Recognize text in captcha images
Caption images
Label text in images using selected model and threshold
a tiny vision language model
Generate captions for images
Generate text descriptions from images
Generate answers by describing an image and asking a question
Image Caption
Generate text from an image and prompt
JointTaggerProject Inference (PILOT2) is an AI-powered tool designed for tagging furry images with precision. It leverages advanced machine learning models to automatically identify and label elements within images based on predefined thresholds, making it a valuable resource for content moderation, organization, or artistic workflows.
• Threshold-based tagging: Customizable sensitivity levels for accurate content detection.
• Batch processing: Efficiently tag multiple images at once, saving time and effort.
• Role-based access: Supports user permissions for secure and controlled usage.
• Export capabilities: Easily export tagged results for further processing or analysis.
• High accuracy: Utilizes state-of-the-art AI models to ensure precise tagging outcomes.
What file formats does PILOT2 support?
PILOT2 supports JPEG, PNG, and BMP image formats for tagging.
Can I adjust the sensitivity of the tagging thresholds?
Yes, PILOT2 allows users to customize tagging thresholds to suit their specific needs.
How do I handle large batches of images?
PILOT2 is optimized for batch processing. Simply upload all your images at once, and the tool will process them efficiently.