diff --git a/get_spectrogram.py b/get_spectrogram.py
index a058589eb855b34bf05b98b50123fec579cf0c91..8ed5d3501c33a803899fcada1ae637eb5b562a71 100755
--- a/get_spectrogram.py
+++ b/get_spectrogram.py
@@ -54,7 +54,7 @@ def main(data, arguments):
             
             utils.create_spectrogram(
                 sig, arguments.directory, name, arguments.cmap, window_size=int(arguments.window),
-                overlap=arguments.hop)
+                overlap=arguments.hop, vmin=arguments.vmin)
             
         except Exception as error:
             folder = 'spectrograms'
@@ -85,6 +85,8 @@ if __name__ == "__main__":
                         help='Overlap in secondes between 2 spectrograms', default=0)
     parser.add_argument('--rf', type=int, help='Resampling Frequency of the signal. If no argument,'
                         ' will be original frequency sampling of the recording', default=None)
+    parser.add_argument('--vmin', type=str, help="If vmin == True, then the spectrogram's minimum color"
+                        ' will be stft.mean(). If False stft.min()', default=True)
     parser.add_argument(
         '--cpu', type=int, help='To speed up the process, write 2 or more', default=1)
     parser.add_argument(
diff --git a/utils.py b/utils.py
index 29550eaecad2961e605657a8b9f3ace12b100927..f55344a85f562525f7136e0b2262f68da94e5a0a 100755
--- a/utils.py
+++ b/utils.py
@@ -87,7 +87,7 @@ def signal_processing(sig, rf, fs, high=None, low=None):
     return sig
 
 
-def create_spectrogram(sig, directory, names, cmap, window_size=1024, overlap=.5,):
+def create_spectrogram(sig, directory, names, cmap, window_size=1024, overlap=.5, minimum=True):
     """
     Create a spectrogram STFT with hanning window and save it into a directory
 
@@ -107,9 +107,13 @@ def create_spectrogram(sig, directory, names, cmap, window_size=1024, overlap=.5
                         hop_length=int(overlap_size), window='hann')  # Compute the STFT
     stft = np.log10(np.abs(stft))  # Adapt the Complex-valued matrix
     fig = plt.figure()
+    if minimum:
+        vmin = stft.mean()
+    else:
+        vmin = stft.min()
     # plot the spectrogram
     plt.imshow(stft[::-1], aspect='auto',
-               interpolation=None, cmap=cmap) # you can add : vmin=stft.mean())
+               interpolation=None, cmap=cmap) # you can add : vmin=vmin)
     # Remove all the borders around the plot
     plt.subplots_adjust(top=1, bottom=0, left=0, right=1)
     if names:
diff --git a/yolov5/detect.py b/yolov5/detect.py
index b035c739cc9b6a2c160470033a4c31e249ddb3f6..1b6c7a52db62b3c302d9ebe2b9a278999d9fce8e 100755
--- a/yolov5/detect.py
+++ b/yolov5/detect.py
@@ -74,6 +74,7 @@ def run(
         rf=22050,
         window=1024,
         hop=0.5,
+        minimum=True, # vmin spectrogram is stft.mean()
         low=None,
         high=None,
         cmap='viridis',
@@ -136,7 +137,7 @@ def run(
             print(f'You put hop > 1, this has been corrected by putting hop at {hop}')
         else:
             hop = window * hop
-        dataset = LoadSpectros(source, sampleDur, rf, window, hop, low, high, cmap, img_size=imgsz, stride=stride, auto=pt)
+        dataset = LoadSpectros(source, sampleDur, rf, window, hop, low, high, cmap, img_size=imgsz, stride=stride, auto=pt, minimum=minimum)
     else:
         dataset = LoadImages(source, img_size=imgsz, stride=stride, auto=pt, vid_stride=vid_stride)
     vid_path, vid_writer = [None] * bs, [None] * bs
@@ -279,6 +280,8 @@ def parse_opt():
                                     help="Colormap used for the spectrograms",type=str)
     parser.add_argument('--window', default=1024, help="Window size for each spectrogram for detection",type=int)
     parser.add_argument('--hop', default=0.5, help="Hop lenght for each spectrogram for detection",type=float)
+    parser.add_argument('--vmin', type=str, help='If vmin == True, then the spectrogram minimum color'
+                        ' will be stft.mean(). If False stft.min()', default=True)
     parser.add_argument('--hide-conf', default=False, action='store_true', help='hide confidences')
     parser.add_argument('--half', action='store_true', help='use FP16 half-precision inference')
     parser.add_argument('--sound', default=False, action='store_true')
diff --git a/yolov5/utils/dataloaders.py b/yolov5/utils/dataloaders.py
index 5c351a82c068155edbbed51fb63a657a1cb1110e..cbc3738bc75b014636a5c695fda40394cfedbd75 100755
--- a/yolov5/utils/dataloaders.py
+++ b/yolov5/utils/dataloaders.py
@@ -239,8 +239,8 @@ class LoadScreenshots:
         return str(self.screen), im, im0, None, s  # screen, img, original img, im0s, s
 
 class LoadSpectros:
-    def __init__(self, folder, sampleDur, rf, window, hop, low, high, cmap, img_size, stride=32, auto=True):
-        self.folder, self.sampleDur, self.rf, self.window, self.hop, self.low, self.high, self.cmap, self.img_size, self.stride, self.auto = folder, sampleDur, rf, window, hop, low, high, cmap, img_size, stride, auto
+    def __init__(self, folder, sampleDur, rf, window, hop, low, high, cmap, img_size, stride=32, auto=True, minimum=True):
+        self.folder, self.sampleDur, self.rf, self.window, self.hop, self.low, self.high, self.cmap, self.img_size, self.stride, self.auto, self.minimum = folder, sampleDur, rf, window, hop, low, high, cmap, img_size, stride, auto, minimum
         self.files = os.listdir(folder)
         self.mode = 'image'
         self.samples = []
@@ -290,8 +290,12 @@ class LoadSpectros:
         stft = librosa.stft(sig, n_fft=self.window,
                 hop_length=hop, window='hann')  # Compute the STFT
         stft = np.log10(np.abs(stft))
+        if minimum:
+            vmin = stft.mean()
+        else:
+            vmin = stft.min()
         axim = plt.imshow(stft, aspect = "auto", interpolation = None,
-                                cmap = self.cmap) # you can add : vmin=np.mean(stft))
+                                cmap = self.cmap, vmin=vmin)
         plt.subplots_adjust(top=1, bottom=0, left=0, right=1)
         im0 = axim.make_image(fig.canvas)[0][:,:,:-1][:,:,::-1]
         cv2.imwrite(path, im0)