Update README.md

README.md

@@ -3,6 +3,13 @@ license: mit
 language:
 - en
 pretty_name: Lanternfly Image Classifier Training Dataset
+datasets:
+- rlogh/lanternfly-data
+- rlogh/lanternfly_swatter_training
+- rlogh/negativesirl
+- uoft-cs/cifar100
+- AI-Lab-Makerere/beans
+- Francesco/insects-mytwu
 ---
 
 
@@ -37,6 +44,11 @@ Original Negative Datasets:
 Total: 501 original images
 
 Imported Datasets
+uoft-cs/cifar100: General image classifier, no insect class
+AI-Lab-Makerere/beans: Foliage with no insects
+Francesco/insects-mytwu: Insect Images
+
+Total: 800 additional images imported
 
 
 
@@ -106,4 +118,4 @@ Incorporating blob detection or YOLO into future models could mitigate this by f
 ### Recommendations
 
 This is a large dataset, and has been shown to accurately classify lanternflies, but there are many edge cases when it does not work correctly. 
-In order to take this into account, using new types of models with subject detection can make use of the many images while improving model accuracy. 
+In order to take this into account, using new types of models with subject detection can make use of the many images while improving model accuracy.