diff --git a/schema/bom-1.5.xsd b/schema/bom-1.5.xsd
index 0651bcdd..d7a17437 100644
--- a/schema/bom-1.5.xsd
+++ b/schema/bom-1.5.xsd
@@ -22,7 +22,7 @@ limitations under the License.
targetNamespace="http://cyclonedx.org/schema/bom/1.5"
vc:minVersion="1.0"
vc:maxVersion="1.1"
- version="1.5.0">
+ version="1.5.1">
@@ -2885,7 +2885,7 @@ limitations under the License.
-
+
@@ -2897,7 +2897,7 @@ limitations under the License.
-
+
@@ -2911,7 +2911,7 @@ limitations under the License.
-
+
@@ -2923,7 +2923,7 @@ limitations under the License.
-
+
diff --git a/schema/bom-1.6.xsd b/schema/bom-1.6.xsd
index 847c5261..7d162ee1 100644
--- a/schema/bom-1.6.xsd
+++ b/schema/bom-1.6.xsd
@@ -22,7 +22,7 @@ limitations under the License.
targetNamespace="http://cyclonedx.org/schema/bom/1.6"
vc:minVersion="1.0"
vc:maxVersion="1.1"
- version="1.6.1">
+ version="1.6.2">
@@ -3256,7 +3256,7 @@ limitations under the License.
-
+
@@ -3268,7 +3268,7 @@ limitations under the License.
-
+
@@ -3282,7 +3282,7 @@ limitations under the License.
-
+
@@ -3294,7 +3294,7 @@ limitations under the License.
-
+
diff --git a/schema/bom-1.7.xsd b/schema/bom-1.7.xsd
index deba3de2..b040c9a4 100644
--- a/schema/bom-1.7.xsd
+++ b/schema/bom-1.7.xsd
@@ -22,7 +22,7 @@ limitations under the License.
targetNamespace="http://cyclonedx.org/schema/bom/1.7"
vc:minVersion="1.0"
vc:maxVersion="1.1"
- version="1.7.0">
+ version="1.7.1">
@@ -3499,7 +3499,7 @@ limitations under the License.
-
+
@@ -3511,7 +3511,7 @@ limitations under the License.
-
+
@@ -3525,7 +3525,7 @@ limitations under the License.
-
+
@@ -3537,7 +3537,7 @@ limitations under the License.
-
+
diff --git a/tools/src/test/resources/1.5/valid-machine-learning-1.5.xml b/tools/src/test/resources/1.5/valid-machine-learning-1.5.xml
index 7c541ecb..e4a871b8 100644
--- a/tools/src/test/resources/1.5/valid-machine-learning-1.5.xml
+++ b/tools/src/test/resources/1.5/valid-machine-learning-1.5.xml
@@ -61,15 +61,19 @@
Who are the intended users of the model?
+ Data scientists and ML researchers
Who are the intended users of the model?
+ Text-to-image generation for creative applications
What are the known technical limitations of the model?
+ Limited performance on non-photographic styles
What are the known tradeoffs in accuracy/performance of the model?
+ Higher resolution output requires more computational resources
diff --git a/tools/src/test/resources/1.6/valid-machine-learning-1.6.xml b/tools/src/test/resources/1.6/valid-machine-learning-1.6.xml
index 6013b1c3..808be3f5 100644
--- a/tools/src/test/resources/1.6/valid-machine-learning-1.6.xml
+++ b/tools/src/test/resources/1.6/valid-machine-learning-1.6.xml
@@ -61,15 +61,19 @@
Who are the intended users of the model?
+ Data scientists and ML researchers
Who are the intended users of the model?
+ Text-to-image generation for creative applications
What are the known technical limitations of the model? E.g. What kind(s) of data should the model be expected not to perform well on? What are the factors that might degrade model performance?
+ Limited performance on non-photographic styles
What are the known tradeoffs in accuracy/performance of the model?
+ Higher resolution output requires more computational resources
diff --git a/tools/src/test/resources/1.7/valid-machine-learning-1.7.xml b/tools/src/test/resources/1.7/valid-machine-learning-1.7.xml
index 38df43ff..c235c569 100644
--- a/tools/src/test/resources/1.7/valid-machine-learning-1.7.xml
+++ b/tools/src/test/resources/1.7/valid-machine-learning-1.7.xml
@@ -63,15 +63,19 @@
Who are the intended users of the model?
+ Data scientists and ML researchers
Who are the intended users of the model?
+ Text-to-image generation for creative applications
What are the known technical limitations of the model? E.g. What kind(s) of data should the model be expected not to perform well on? What are the factors that might degrade model performance?
+ Limited performance on non-photographic styles
What are the known tradeoffs in accuracy/performance of the model?
+ Higher resolution output requires more computational resources