Add BBox ID To jsonl (#518)

Author: vpandiarajan20

.artifact/tree.json

@@ -2,18 +2,18 @@
   "test_fake_bucket": {
     "custom": {
       "fakedata_custom_training.jsonl": {
-        "hash": "7e788942eb878d633d3f5155102e2666",
-        "size": 933
+        "hash": "c717c47258c132598b53e9ddaa882719",
+        "size": 966
       },
       "fakedata_empty_bucket.jsonl": {
-        "hash": "6d7c59b1166cb1b0d360baab7d7bd27f",
-        "size": 366
+        "hash": "df141cca5941b6724a0e30ed5fce027c",
+        "size": 377
       }
     },
     "detection": {
       "fakedata_detection.jsonl": {
-        "hash": "12129885a0720465cf97cd2e90cd7db0",
-        "size": 948
+        "hash": "c8199766babcdd849f8d3fc15d7b27dc",
+        "size": 1003
       }
     },
     "multi": {

machinelearning/image_metadata_to_JSON.go

@@ -53,6 +53,7 @@ type CustomTrainingMetadata struct {
 
 // BBoxAnnotation holds the information associated with each bounding box.
 type BBoxAnnotation struct {
+	ID              string  `json:"id"`
 	AnnotationLabel string  `json:"annotation_label"`
 	XMinNormalized  float64 `json:"x_min_normalized"`
 	XMaxNormalized  float64 `json:"x_max_normalized"`
@@ -334,6 +335,7 @@ func getMatchingBBoxes(annotations []*datav1.BoundingBox, labels []string) []BBo
 	match := []BBoxAnnotation{}
 	for _, annotation := range annotations {
 		bbox := BBoxAnnotation{
+			ID:              annotation.GetId(),
 			AnnotationLabel: annotation.GetLabel(),
 			XMinNormalized:  annotation.GetXMinNormalized(),
 			XMaxNormalized:  annotation.GetXMaxNormalized(),