Update README.md

README.md

@@ -1,18 +1,20 @@
----
-tags:
-- curb ramp detection
-- accessibility
-license: mit
-datasets:
-- projectsidewalk/rampnet-dataset
-base_model:
-- timm/convnextv2_base.fcmae_ft_in22k_in1k_384
-pipeline_tag: object-detection
----
-
-This is the curb ramp detection model introduced in *RampNet*.
-
-**Example usage:**
+---
+tags:
+- curb ramp detection
+- accessibility
+license: mit
+datasets:
+- projectsidewalk/rampnet-dataset
+base_model:
+- timm/convnextv2_base.fcmae_ft_in22k_in1k_384
+pipeline_tag: object-detection
+---
+
+**RampNet** is a two-stage pipeline that addresses the scarcity of curb ramp detection datasets by using government location data to automatically generate over 210,000 annotated Google Street View panoramas. This new dataset is then used to train a state-of-the-art curb ramp detection model that significantly outperforms previous efforts. In this repo, we provide the checkpoint for our curb ramp detection model.
+
+
+
+**Usage:**
 ```py
 import torch
 from transformers import AutoModel