rossjillian/rankiqa
Assesses image quality and returns a numerical score between 0-100, where lower scores indicate higher quality images. U...
Found 99 models (showing 81-99)
Assesses image quality and returns a numerical score between 0-100, where lower scores indicate higher quality images. U...
Generates text responses from text, image, and video inputs using a 35B-parameter multimodal reasoning model optimized b...
Analyzes images and generates descriptive tags with confidence scores. Takes an image as input and returns an array of t...
Answers questions about images and generates image captions using BLIP-3/XGen-MM multimodal model. Takes an image and a...
Analyzes images and generates text responses based on prompts and visual content. Built on Google's PaliGemma 3B archite...
Generates text responses from text prompts with support for multimodal inputs including images, videos, and audio. Combi...
Analyze images and videos with text prompts to generate detailed descriptions, answer questions, and extract information...
Analyzes images and generates text responses based on both the image content and text prompts. Uses a locality-enhanced...
Analyzes images and generates text responses to questions or instructions about visual content. This compact multimodal...
Generates text and analyzes images based on prompts, with a 1 million token context window. Excels at code generation, c...
Generate text responses from prompts with frontier-level coding and agentic capabilities at mid-tier pricing. Excels at...
Analyzes text and images for DFK (likely content policy) violations using parallel LLM-based classification with configu...
Generates text responses with adaptive thinking capabilities for complex knowledge work and coding problems. Accepts tex...
Generates text, code, and performs multimodal reasoning from text prompts combined with images, videos, and audio inputs...
Generates text from text and image inputs with a 1 million token context window and up to 65,536 output tokens. Handles...
Analyzes images and responds to text prompts about the visual content. This tiny vision language model takes an image an...
Analyzes images and generates text responses based on prompts using a locality-enhanced projector architecture for multi...
Analyzes images and answers questions about them using a compact 0.5B parameter vision-language model. Takes an image an...
Detects whether a GitHub user has a custom or default avatar by analyzing their GitHub username.