diff --git a/backend/src/main/java/com/worlabel/domain/progress/repository/ProgressCacheRepository.java b/backend/src/main/java/com/worlabel/domain/progress/repository/ProgressCacheRepository.java
index ddebcd9..4dd07e6 100644
--- a/backend/src/main/java/com/worlabel/domain/progress/repository/ProgressCacheRepository.java
+++ b/backend/src/main/java/com/worlabel/domain/progress/repository/ProgressCacheRepository.java
@@ -16,7 +16,7 @@ public class ProgressCacheRepository {
     /**
      * 현재 오토레이블링중인지 확인하는 메서드
      */
-    public boolean predictCheck(final int projectId) {
+    public boolean predictProgress(final int projectId) {
         String key = CacheKey.autoLabelingProgressKey();
         Boolean isProgress = redisTemplate.opsForSet().isMember(key, projectId);
         return Boolean.TRUE.equals(isProgress);
diff --git a/backend/src/main/java/com/worlabel/domain/progress/service/ProgressService.java b/backend/src/main/java/com/worlabel/domain/progress/service/ProgressService.java
index aab44ef..020f164 100644
--- a/backend/src/main/java/com/worlabel/domain/progress/service/ProgressService.java
+++ b/backend/src/main/java/com/worlabel/domain/progress/service/ProgressService.java
@@ -15,7 +15,7 @@ public class ProgressService {
     private final ProgressCacheRepository progressCacheRepository;
 
     public void predictCheck(final int projectId){
-        if(progressCacheRepository.predictCheck(projectId)){
+        if(progressCacheRepository.predictProgress(projectId)){
             throw new CustomException(ErrorCode.AI_IN_PROGRESS);
         }
     }
diff --git a/backend/src/main/resources/sql/dml/init.sql b/backend/src/main/resources/sql/dml/init.sql
new file mode 100644
index 0000000..04949e0
--- /dev/null
+++ b/backend/src/main/resources/sql/dml/init.sql
@@ -0,0 +1,86 @@
+# YOLO8 DEFAULT 모델 삽입
+INSERT INTO ai_model(model_id, version, name)
+VALUES (1, 0, "yolo8-detection");
+
+# 80개의 라벨 카테고리 삽입
+INSERT INTO label_category(model_id, label_category_name, ai_category_id)
+VALUES (1, 'person', 0),
+       (1, 'bicycle', 1),
+       (1, 'car', 2),
+       (1, 'motorcycle', 3),
+       (1, 'airplane', 4),
+       (1, 'bus', 5),
+       (1, 'train', 6),
+       (1, 'truck', 7),
+       (1, 'boat', 8),
+       (1, 'traffic light', 9),
+       (1, 'fire hydrant', 10),
+       (1, 'stop sign', 11),
+       (1, 'parking meter', 12),
+       (1, 'bench', 13),
+       (1, 'bird', 14),
+       (1, 'cat', 15),
+       (1, 'dog', 16),
+       (1, 'horse', 17),
+       (1, 'sheep', 18),
+       (1, 'cow', 19),
+       (1, 'elephant', 20),
+       (1, 'bear', 21),
+       (1, 'zebra', 22),
+       (1, 'giraffe', 23),
+       (1, 'backpack', 24),
+       (1, 'umbrella', 25),
+       (1, 'handbag', 26),
+       (1, 'tie', 27),
+       (1, 'suitcase', 28),
+       (1, 'frisbee', 29),
+       (1, 'skis', 30),
+       (1, 'snowboard', 31),
+       (1, 'sports ball', 32),
+       (1, 'kite', 33),
+       (1, 'baseball bat', 34),
+       (1, 'baseball glove', 35),
+       (1, 'skateboard', 36),
+       (1, 'surfboard', 37),
+       (1, 'tennis racket', 38),
+       (1, 'bottle', 39),
+       (1, 'wine glass', 40),
+       (1, 'cup', 41),
+       (1, 'fork', 42),
+       (1, 'knife', 43),
+       (1, 'spoon', 44),
+       (1, 'bowl', 45),
+       (1, 'banana', 46),
+       (1, 'apple', 47),
+       (1, 'sandwich', 48),
+       (1, 'orange', 49),
+       (1, 'broccoli', 50),
+       (1, 'carrot', 51),
+       (1, 'hot dog', 52),
+       (1, 'pizza', 53),
+       (1, 'donut', 54),
+       (1, 'cake', 55),
+       (1, 'chair', 56),
+       (1, 'couch', 57),
+       (1, 'potted plant', 58),
+       (1, 'bed', 59),
+       (1, 'dining table', 60),
+       (1, 'toilet', 61),
+       (1, 'tv', 62),
+       (1, 'laptop', 63),
+       (1, 'mouse', 64),
+       (1, 'remote', 65),
+       (1, 'keyboard', 66),
+       (1, 'cell phone', 67),
+       (1, 'microwave', 68),
+       (1, 'oven', 69),
+       (1, 'toaster', 70),
+       (1, 'sink', 71),
+       (1, 'refrigerator', 72),
+       (1, 'book', 73),
+       (1, 'clock', 74),
+       (1, 'vase', 75),
+       (1, 'scissors', 76),
+       (1, 'teddy bear', 77),
+       (1, 'hair drier', 78),
+       (1, 'toothbrush', 79);