VOC2010 Annotation Guidelines

What to label

All objects of the defined categories, unless:

• you are unsure what the object is.
• the object is very small (at your discretion).
• less than 10-20% of the object is visible, such that you cannot be sure what class it is. e.g. if only a tyre is visible it may belong to car or truck so cannot be labelled car, but feet/faces can only belong to a person.

If this is not possible because too many objects, mark image as bad.

Viewpoint

Record the viewpoint of the ‘bulk’ of the object e.g. the body rather than the head.  Allow viewpoints within 10-20 degrees.

If ambiguous, leave as ‘Unspecified’. Unusually rotated objects e.g. upside-down people should be left as 'Unspecified'.

Bounding box

Mark the bounding box of the visible area of the object (not the estimated total extent of the object).

Bounding box should contain all visible pixels, except where the bounding box would have to be made excessively large to include a few additional pixels (<5%) e.g. a car aerial.

Truncation

If more than 15-20% of the object lies outside the bounding box mark as Truncated. The flag indicates that the bounding box does not cover the total extent of the object.

Occlusion

If more than 5% of the object is occluded within the bounding box, mark as Occluded. The flag indicates that the object is not totally visible within the bounding box.

Image quality/ illumination

Images which are poor quality (e.g. excessive motion blur) should be marked bad.  However, poor illumination (e.g. objects in silhouette) should not count as poor quality unless objects cannot be recognised.

Images made up of multiple images (e.g. collages) should be marked bad.

Clothing/mud/ snow etc.

If an object is ‘occluded’ by a close-fitting occluder e.g. clothing, mud, snow etc., then the occluder should be treated as part of the object.

Transparency

Do label objects visible through glass, but treat reflections on the glass as occlusion.

Mirrors

Do label objects in mirrors.

Pictures

Label objects in pictures/posters/signs only if they are photorealistic but not if cartoons, symbols etc.

Includes gliders but not hang gliders or helicopters

Bicycle

Includes tricycles, unicycles

Bird

All birds

Boat

Ships, rowing boats, pedaloes but not jet skis

Bottle

Plastic, glass or feeding bottles

Bus

Includes minibus but not trams

Car

Includes cars, vans, large family cars for 6-8 people etc.

Excludes go-carts, tractors, emergency vehicles, lorries/trucks etc.

Do not label where only the vehicle interior is shown.

Include toys that look just like real cars, but not ‘cartoony’ toys.

Cat

Domestic cats (not lions etc.)

Chair

Includes armchairs, deckchairs but not stools or benches.
Excludes seats in buses, cars etc.
Excludes wheelchairs.

Cow

All cows

Dining table

Only tables for eating at.
Not coffee tables, desks, side tables or picnic benches

Dog

Domestic dogs (not wolves etc.)

Horse

Includes ponies, donkeys, mules etc.

Motorbike

Includes mopeds, scooters, sidecars

People

Includes babies, faces (i.e. truncated people)

Potted plant

Indoor plants excluding flowers in vases, or outdoor plants clearly in a pot. 

Sheep

Sheep, not goats

Sofa

Excludes sofas made up as sofa-beds

Train

Includes train carriages, excludes trams

TV/monitor

Standalone screens (not laptops), not advertising displays

What to segment

Objects whose bounding boxes have been labelled according to the above guidelines.

You may need to exclude backpacks, handbags etc. which were included in the bounding box. 
You may also need to include hands, chair legs etc. which were outside the bounding box.

Accuracy

Segment within 5 pixels.  Labelled pixels MUST be the object;
 pixels outside the 5-pixel border area MUST be background.  Border pixels can be either.  Use the tri-map displayed by the segmentation tool to ensure these constraints hold.

This may involve labelling pixels outside the bounding box.

Mixed pixels/ transparency

Pixels which are mixed e.g. due to transparency, motion blur or the presence of a border should be considered to belong to the object whose colour contributes most to the mix.

Thin structures

Aim to capture thin structures where possible, within the accuracy constraints.  Structures of around one pixel thickness can be ignored e.g. wires, rigging, whiskers.

Objects on tables etc.

If a number of small objects are occluding an object e.g. cutlery/silverware on a dining table, they can be considered part of that object. The exception is if they are sticking out of the object (e.g. candles) where they should be truncated at the object boundary.

Difficult images

Images which are overly difficult to segment to the required accuracy can be left unlabelled e.g. a nest of bicycles.