Rate quality of image edits based on instructions
Multimodal Language Model
Vote on anime images to contribute to a leaderboard
Meta Llama3 8b with Llava Multimodal capabilities
Generate saliency maps from RGB and depth images
Segment objects in images and videos using text prompts
Recognize micro-expressions in images
Process webcam feed to detect edges
Identify shrimp species from images
streamlit application to for ANPR/ALPR
Search for medical images using natural language queries
Compute normals for images and videos
Visualize attention maps for images using selected models
Image-Edit-Annotation is an advanced AI-powered tool designed to rate the quality of image edits based on provided instructions. It helps users ensure their image editing tasks meet specific criteria by evaluating how well the edits align with the given guidelines. This tool is particularly useful for image processing, content moderation, and quality assurance in various industries.
What types of image edits can Image-Edit-Annotation evaluate?
Image-Edit-Annotation can evaluate various types of image edits, including cropping, color correction, object removal, text overlay, and more, based on the instructions provided.
Can I use Image-Edit-Annotation for multiple images at once?
Yes, batch processing is supported, allowing you to evaluate multiple images simultaneously, making it ideal for large-scale projects.
How do I update or modify the evaluation criteria?
You can easily update the evaluation criteria by revising the instructions or guidelines provided during the initial setup. The tool will adapt to the new criteria for future evaluations.