diff --git a/src/data.c b/src/data.c
index 88d5720b..f087cd4e 100644
--- a/src/data.c
+++ b/src/data.c
@@ -308,8 +308,8 @@ void fill_truth_detection(char *path, int num_boxes, float *truth, int classes,
     box_label *boxes = read_boxes(labelpath, &count);
 	if (small_object == 1) {
 		for (i = 0; i < count; ++i) {
-			if (boxes[i].w < 0.01) boxes[i].w = 0.01;
-			if (boxes[i].h < 0.01) boxes[i].h = 0.01;
+			if (boxes[i].w < 0.001F) boxes[i].w = 0.001F;
+			if (boxes[i].h < 0.001F) boxes[i].h = 0.001F;
 		}
 	}
     randomize_boxes(boxes, count);
@@ -326,7 +326,7 @@ void fill_truth_detection(char *path, int num_boxes, float *truth, int classes,
         id = boxes[i].id;
 
 		// not detect small objects
-		if ((w < 0.001 || h < 0.001)) continue;
+		if ((w < 0.001F || h < 0.001F)) continue;
 
         truth[i*5+0] = x;
         truth[i*5+1] = y;
diff --git a/src/detector.c b/src/detector.c
index ac84c591..b588b6d4 100644
--- a/src/detector.c
+++ b/src/detector.c
@@ -88,7 +88,7 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
     args.classes = classes;
     args.jitter = jitter;
     args.num_boxes = l.max_boxes;
-	args.small_object = l.small_object;
+	args.small_object = net.small_object;
     args.d = &buffer;
     args.type = DETECTION_DATA;
 	args.threads = 64;	// 8
diff --git a/src/layer.h b/src/layer.h
index 91b893a4..5d55e1cb 100644
--- a/src/layer.h
+++ b/src/layer.h
@@ -78,7 +78,6 @@ struct layer{
     int out_h, out_w, out_c;
     int n;
     int max_boxes;
-	int small_object;
     int groups;
     int size;
     int side;
diff --git a/src/network.h b/src/network.h
index f3bb5425..5b405c4a 100644
--- a/src/network.h
+++ b/src/network.h
@@ -57,6 +57,7 @@ typedef struct network{
     float exposure;
     float saturation;
     float hue;
+	int small_object;
 
     int gpu_index;
     tree *hierarchy;
diff --git a/src/parser.c b/src/parser.c
index fd3d6913..5a111bf6 100644
--- a/src/parser.c
+++ b/src/parser.c
@@ -311,7 +311,6 @@ layer parse_region(list *options, size_params params)
     l.log = option_find_int_quiet(options, "log", 0);
     l.sqrt = option_find_int_quiet(options, "sqrt", 0);
 
-	l.small_object = option_find_int_quiet(options, "small_object", 0);
     l.softmax = option_find_int(options, "softmax", 0);
 	l.focal_loss = option_find_int_quiet(options, "focal_loss", 0);
     //l.max_boxes = option_find_int_quiet(options, "max",30);
@@ -622,6 +621,7 @@ void parse_net_options(list *options, network *net)
     net->max_crop = option_find_int_quiet(options, "max_crop",net->w*2);
     net->min_crop = option_find_int_quiet(options, "min_crop",net->w);
 
+	net->small_object = option_find_int_quiet(options, "small_object", 0);
     net->angle = option_find_float_quiet(options, "angle", 0);
     net->aspect = option_find_float_quiet(options, "aspect", 1);
     net->saturation = option_find_float_quiet(options, "saturation", 1);