Lost and Found 3000
Take a picture. Assists in finding small lost items in complex environments using image analysis.
Lost and Found 3000 is a powerful GPT model developed by MA that assists in finding small lost items in complex environments using image analysis. With a focus on image recognition and object detection, this tool is indispensable for individuals looking to locate misplaced objects quickly and efficiently.
How to use
Hi! Let's find what you've lost. Share a photo and I'll help.
- Upload a clear photo of the area where the lost item is suspected to be.
- Wait for the model to analyze the image and identify the potential location of the lost item.
- Review the results provided by the tool to locate and retrieve the lost object with ease.
Features
- Utilizes Python, DALL-E, and browser for seamless image analysis
- Offers prompt starters for users to describe their lost items accurately
- Equipped with the capability to find small lost items in cluttered environments
- Updated persistence allows for accurate and up-to-date search results
Updates
2024/01/11
Language
English (English)
Welcome message
Hi! Let's find what you've lost. Share a photo and I'll help.
Prompt starters
- I dropped a screw, can you find it in this photo?
- Here's a photo of my cluttered room, can you spot my lost ring?
- Lost a small part in my workshop, need help locating it.
- I can't find my earring, here's a picture of where I think it is.
Tools
- python
- dalle
- browser
Tags
public
reportable