Update README.md

README.md

@@ -7,7 +7,9 @@ license: mit
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/67b01cae6ccf462ccafdc4e8/MCVaSF6zQyC6Fy9PKJ7rV.png)
 
 # Problem: Limited Access to High-Quality Training Data
-State-of-the-art foundational robotics models today rely on thousands hours of private teleoperation data, accessible only to well-funded organizations, creating a barrier to innovation.
+State-of-the-art foundational robotics models today rely on large datasets of private teleoperation data, accessible only to well-funded organizations, creating a barrier to innovation.
+<img src="https://cdn-uploads.huggingface.co/production/uploads/67b01cae6ccf462ccafdc4e8/ELOW6hNBPz03P8KDcDI3E.png" width="400"/>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/67b01cae6ccf462ccafdc4e8/Qb6K1ooyvJCHCkF35Hex3.png" width="400"/>
 
 # Solution: Crowdsourcing an Open Robotics Dataset
 Project CrowdBot seeks to democratize robotics by building a high-quality, open dataset for training state-of-the-art models. By enabling anyone to access and contribute data, CrowdBot fosters broader advancements in robotics.
@@ -15,4 +17,6 @@ Project CrowdBot seeks to democratize robotics by building a high-quality, open
 # How YOU can Contribute
 1. **Build** your own low-cost robot
 2. **Collect** labeled teleoperation data, such as folding a size-M t-shirt
-3. **Upload** your data to CrowdBot's Huggingface page via pull request 
+3. **Upload** your data to CrowdBot's Huggingface page via pull request
+
+# How to use the dataset