Update README.md

README.md

@@ -10,10 +10,16 @@ license: apache-2.0
  - digital : 1206
  - hard : 11727
 ## Classes description:
-1. The hard class contains the following categories of objects:
-`object, laptop, charger, pc mouse, pc, rocks, table, bed, box, sneakers, ship, wire, guitar, fork, spoon, plate, keyboard, car, bus, screwdriver, ball, door, flower, clocks, fruit , food, robot.`
-2. The soft class contains the following categories of objects:
-`animal, people, human, man, woman, t-shirt, hairs, hair, dog, cat, monkey, cow, medusa, clothes`
-3. The digital class contains the following categories of scenes: `screenshot`
+1. The **hard** class denotes a group of scenes to which a coarser background removal method should be applied, intended for objects with an edge without small details.
+The hard class contains the following categories of objects:
+object, laptop, charger, pc mouse, pc, rocks, table, bed, box, sneakers, ship, wire, guitar, fork, spoon, plate, keyboard, car, bus, screwdriver, ball, door, flower, clocks, fruit , food, robot.
+
+2. The **soft** class denotes a group of scenes to which you want to apply a soft background removal method intended for people, hair, clothes, and other similar types of objects. The soft class contains the following categories of objects:
+animal, people, human, man, woman, t-shirt, hairs, hair, dog, cat, monkey, cow, medusa, clothes
+
+3. The **digital** class denotes a group of images with digital graphics, such as screenshots, logos, and so on.
+The digital class contains the following categories of scenes:
+screenshot
+
 ## Architecture info
 The classifier uses DenseNet161 as the encoder and some linear layers at classifier base.