hzhang57 / annotations

COIN Dataset

COIN is the currently largest dataset for comprehensive instruction video analysis. It contains 11,827 videos of 180 different tasks (i.e., car polishing, make French fries) related to 12 domains (i.e., vehicle, dish). All videos are collected from YouTube and annotated with an efficient toolbox.

Authors and Contributors

Yansong Tang^*, Dajun Ding^†, Yongming Rao^*, Yu Zheng^*, Danyang Zhang^*, Lili Zhao^†, Jiwen Lu^*, Jie Zhou^*, Yongxiang Lian^*, Yao Li^†, Jiali Sun^†, Chang Liu^†, Dongge You^†, Zirun Yang^†, Jiaojiao Ge^†, Jiayun Wang^*

• ^*Tsinghua University
• ^†Meitu Inc.

Contact: [email protected]

License

You may use the codes and files for research only, including sharing and modifying the material. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Dataset and Annotation

Taxonomy

The COIN is organized in a hierarchical structure, which contains three levels: domain, task and step. The corresponding relationship can be found at taxonomy [link]. We provide the taxonomy file of COIN in csv format. Below, we show a small part of the texonomy stored in taxonomy.xlsx:

domain_target_mapping	target_action_mapping
Domains Targets ... ... Vehicle ChangeCarTire Vehicle InstallLicensePlateFrame ... ... Gadgets ReplaceCDDriveWithSSD	Target Id Target Label Action Id Action Label ... ... ... ... 13 ChangeCarTire 259 unscrew the screw 13 ChangeCarTire 260 jack up the car 13 ChangeCarTire 261 remove the tire 13 ChangeCarTire 262 put on the tire 13 ChangeCarTire 263 tighten the screws ... ... ... ...

We store the url of video and their annotation in JSON format, which can be accessed with the link [COIN](Project link page). The json file is similar to that of ActivityNet. Below, we show an example entry from the key field "database":

"LtRSn-ntcLY": {
			"duration": 131.0309,
			"class": "ReplaceCDDriveWithSSD",
			"video_url": "https://www.youtube.com/embed/LtRSn-ntcLY",
			"start": 56.640895694775196,
			"annotation": [
				{
					"id": "212",
					"segment": [
						60.0,
						69.0
					],
					"label": "take out the laptop CD drive"
				},
				{
					"id": "216",
					"segment": [
						71.0,
						82.0
					],
					"label": "insert the hard disk tray into the position of the CD drive"
				}
			],
			"subset": "training",
			"end": 85.714362947023,
			"recipe_type": 131
		}

From the entry, we can easily retrieve the Youtube ID, duration, ROI and procedure information of the video. The field "annotation" comprises of a list of all annotated procedures within the video. The field "class" and sub-field "id" correspond to "task" and "step" of the taxonomy respectively.

File Structure

The annotation information is saved in COIN.json.

Field Name	Type	Example	Description
database	string	-	Key filed of the annotation file.
-	string	LtRSn-ntcLY	Youtube ID of the video.
duration	float	56.640895694775196	Duration of the video in seconds.
class	string	ReplaceCDDriveWithSSD	Name of the task in the video.
video_url	string	https://www.youtube.com/embed/LtRSn-ntcLY	Url of the video.
start	float	56.640895694775196	Start time of the ROI of the video.
end	float	85.714362947023	End time of the ROI of the video.
subset	string	training or validation	Subset of the video.
recipe_type	int	131	ID number of the task.
annotation	string	-	Annotation information of the video.
annotation:id	int	212	ID number of the procedure.
annotation:label	string	take out the laptop CD drive	Name of the procedure.
annotation:segment	list of float (len=2)	[60.0,69.0]	Start and end time of the procedure.