Spaces:
Running
on
Zero
Running
on
Zero
File size: 1,390 Bytes
c41006e 1e5cd04 c41006e 1e5cd04 c41006e 1e5cd04 c41006e 1e5cd04 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
---
title: Spatial-SSRL Spatial Reasoning
emoji: π
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: Spatial reasoning with vision-language models
---
# π Spatial-SSRL: Spatial Reasoning with Vision-Language Models
This demo showcases the spatial reasoning capabilities of vision-language models trained to understand 3D spatial relationships from 2D images.
## Features
- **3D Location Understanding**: Determine which objects are closer or further from the camera
- **Orientation Analysis**: Understand which direction objects are facing
- **Relative Positioning**: Answer questions about object positions relative to each other
- **Step-by-step Reasoning**: The model provides detailed reasoning before answering
## How to Use
1. Upload an image
2. Ask a question about spatial relationships in the image
3. The model will provide a detailed answer with reasoning
## Example Questions
- "Which object is further away from the camera? A. boat B. fire hydrant"
- "Are the kid and the teddy bear facing same or similar directions?"
- "If I stand at the recreational vehicle's position facing where it is facing, is the dog in front of me or behind me?"
The model is trained to provide answers in a structured format with reasoning enclosed in `<think>` tags and final answers in `\boxed{}`.
|