Update README.md

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # detr-resnet-50_fine_tuned_nls_chapbooks
 
-This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the nls_chapbook_illustrations dataset.
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the `biglam/nls_chapbook_illustrations` dataset. This dataset contains images of chapbooks with bounding boxes for the illustrations contained on some of the pages. 
 
 ## Model description
 
@@ -29,7 +29,7 @@ More information needed
 
 ### Using in a transformer pipeline 
 
-The easiest way to use this model is via a [Transformers pipeline](https://huggingface.co/docs/transformers/main/en/pipeline_tutorial#vision-pipeline). To do this you should first load the model and feature extractor:
+The easiest way to use this model is via a [Transformers pipeline](https://huggingface.co/docs/transformers/main/en/pipeline_tutorial#vision-pipeline). To do this, you should first load the model and feature extractor:
 
 ```python 
 from transformers import AutoFeatureExtractor, AutoModelForObjectDetection
@@ -39,7 +39,7 @@ extractor = AutoFeatureExtractor.from_pretrained("davanstrien/detr-resnet-50_fin
 model = AutoModelForObjectDetection.from_pretrained("davanstrien/detr-resnet-50_fine_tuned_nls_chapbooks")
 ```
 
-Then you can create a pipeline for object detection using the model 
+Then you can create a pipeline for object detection using the model. 
 
 ```python
 from transformers import pipeline