diff --git a/Sources/CapTrain.swift b/Sources/CapTrain.swift
index 97340b1..cb00b59 100644
--- a/Sources/CapTrain.swift
+++ b/Sources/CapTrain.swift
@@ -23,6 +23,9 @@ struct CapTrain: AsyncParsableCommand {
     
     @Option(name: .shortAndLong, help: "The path to the folder where the content (images, classifier, thumbnails) is stored")
     var folder: String?
+    
+    @Flag(name: .long, help: "Only upload the previous classifier")
+    var skipTraining: Bool = false
 
     func run() async throws {
         let configurationFile = try configurationFile()
@@ -36,7 +39,6 @@ struct CapTrain: AsyncParsableCommand {
         guard let authentication = authentication ?? configurationFile?.authentication else {
             throw TrainingError.missingArguments("authentication")
         }
-        
         let configuration = Configuration(
             contentFolder: contentFolder,
             trainingIterations: iterations,
@@ -44,7 +46,7 @@ struct CapTrain: AsyncParsableCommand {
             authenticationToken: authentication)
         
         let creator = try ClassifierCreator(configuration: configuration, resume: resume)
-        try await creator.run()
+        try await creator.run(skipTraining: skipTraining)
     }
     
     private func configurationFile() throws -> ConfigurationFile? {
diff --git a/Sources/ClassifierCreator.swift b/Sources/ClassifierCreator.swift
index ae70fd4..0060e76 100644
--- a/Sources/ClassifierCreator.swift
+++ b/Sources/ClassifierCreator.swift
@@ -59,7 +59,7 @@ final class ClassifierCreator {
     
     // MARK: Main function
     
-    func run() async throws {
+    func run(skipTraining: Bool) async throws {
         let imagesSnapshotDate = Date()
         let (classes, changedImageCount, changedMainImages) = try await loadImages()
 
@@ -78,13 +78,16 @@ final class ClassifierCreator {
         let classifierVersion = try await getClassifierVersion()
         let newVersion = classifierVersion + 1
 
+        print(info: "Server: \(server.path)")
         print(info: "Image directory: \(imageDirectory.absoluteURL.path)")
         print(info: "Model path: \(classifierUrl.path)")
         print(info: "Version: \(newVersion)")
         print(info: "Classes: \(classes.count)")
         print(info: "Iterations: \(configuration.trainingIterations)")
 
-        try await trainAndSaveModel()
+        if !skipTraining {
+            try await trainAndSaveModel()
+        }
         try await uploadModel(version: newVersion)
         try await upload(classes: classes, lastUpdate: imagesSnapshotDate)
         try await createThumbnails(changed: changedMainImages)