Drop Noise
This layer (drop_noise
) removes connected components smaller than the specified size from bitmap annotations. This can be useful to eliminate noise after running neural network.
Settings¶
classes
(type: array of strings)min_area
(type: string)src_type
(type: enum ["image", "bbox"])
Minimum area (min_area
) for pixel group to be removed can be provided in pixels (ex. 10px
) or in percentage (1%
).
If min_area
is in percentage, area of pixel group to delete can be calculated based on total resoultion of image (src_type
= image
) or based on area of bounding box of annotation (src_type
= bbox
).
Only annotations of classes from array classes
would be processed. Those classes should have shape bitmap
.
{ "action": "drop_noise", "src": ["$input" ], "dst": "$output", "settings": { "classes": ["noise"], "min_area": "2%", "src_type": "bbox" } }
Example¶
In this example we will remove noise from annotations of class shoes
(bitmap) less than 20px
in size.


[ { "dst": "$data", "src": [ "example/*" ], "action": "data", "settings": { "classes_mapping": "default" } }, { "action": "drop_noise", "src": ["$data"], "dst": "$output", "settings": { "classes": ["shoes"], "min_area": "20px", "src_type": "image" } }, { "dst": "example_drop_noise", "src": [ "$output" ], "action": "supervisely", "settings": {} } ]