add annotations

.gitattributes

@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp3 filter=lfs diff=lfs merge=lfs -text
 *.ogg filter=lfs diff=lfs merge=lfs -text
 *.wav filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

data/annotations/AVA-Kinetics/ava_kinetics_v1_0/README.txt

@@ -0,0 +1,62 @@
+This is the v1.0 release of the AVA-Kinetics action localization dataset.
+
+It consists of the AVA Atomic Visual Actions dataset (version 2.2) combined with
+frames from the Kinetics-700 dataset, annotated with person bounding boxes as
+well as the localized actions from the AVA vocabulary.
+
+===
+
+DATA FORMAT:
+
+Each row of a CSV file contains an annotation for one person performing an
+action in an interval, where that annotation is associated with the middle
+keyframe. Different persons and multiple action labels are described in separate
+rows.
+
+The format of a row is the following: video_id, middle_frame_timestamp,
+person_box, action_id, person_id
+
+video_id: YouTube identifier
+keyframe_timestamp: in seconds from the start of the YouTube video
+person_box: top-left (x1, y1) and bottom-right (x2,y2) normalized with respect
+  to frame size, where (0.0, 0.0) corresponds to the top left, and (1.0, 1.0)
+  corresponds to the bottom right.
+action_id: identifier of an action class, see ava_action_list_v2.2.pbtxt
+person_id: a unique integer allowing this box to be linked to other boxes
+  depicting the same person in adjacent frames of this video. The person id is
+  optional--included in the AVA data but not in the Kinetics data.
+
+In the training and validation files, rows containing only a
+video_id,keyframe_timestamp (i.e. no box or action label) are included to
+indicate an empty frame where no action was identified by labelers.
+
+In the test files, boxes and action labels are omitted entirely, rather the
+video_id,keyframe_timestamp pairs indicate the video frames upon which a
+submission will be tested.
+
+The full action label vocabulary is provided in
+ava_action_list_v2.2_for_activitynet.pbtxt.
+
+For the ActivityNet challenge, and in many papers, results are reported on only
+a subset of 60 actions listed in ava_action_list_v2.2_for_activitynet.pbtxt.
+
+===
+
+EVALUATION:
+
+Evaluation code used for the ActivityNet Challenge may be found at https://github.com/activitynet/ActivityNet/blob/master/Evaluation/get_ava_performance.py
+
+The ground truth labels on the test set have not been released to the public. To evaluate on the test set, a submission must be made to the ActivityNet Evaluation Server, http://activity-net.org/challenges/2020/evaluation.html
+
+===
+
+For more about AVA-Kinetics or AVA, please visit
+https://research.google.com/ava/.
+
+For more about Kinetics, please visit
+https://deepmind.com/research/open-source/kinetics.
+
+Please send any questions to the Google Group ava-dataset-users:
+https://groups.google.com/forum/#!forum/ava-dataset-users
+
+

data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_action_list_v2.2.pbtxt

@@ -0,0 +1,400 @@
+label {
+  name: "bend/bow (at the waist)"
+  label_id: 1
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "crawl"
+  label_id: 2
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "crouch/kneel"
+  label_id: 3
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "dance"
+  label_id: 4
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "fall down"
+  label_id: 5
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "get up"
+  label_id: 6
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "jump/leap"
+  label_id: 7
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "lie/sleep"
+  label_id: 8
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "martial art"
+  label_id: 9
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "run/jog"
+  label_id: 10
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "sit"
+  label_id: 11
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "stand"
+  label_id: 12
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "swim"
+  label_id: 13
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "walk"
+  label_id: 14
+  label_type: PERSON_MOVEMENT
+}
+label {
+  name: "answer phone"
+  label_id: 15
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "brush teeth"
+  label_id: 16
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "carry/hold (an object)"
+  label_id: 17
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "catch (an object)"
+  label_id: 18
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "chop"
+  label_id: 19
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "climb (e.g., a mountain)"
+  label_id: 20
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "clink glass"
+  label_id: 21
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "close (e.g., a door, a box)"
+  label_id: 22
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "cook"
+  label_id: 23
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "cut"
+  label_id: 24
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "dig"
+  label_id: 25
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "dress/put on clothing"
+  label_id: 26
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "drink"
+  label_id: 27
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "drive (e.g., a car, a truck)"
+  label_id: 28
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "eat"
+  label_id: 29
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "enter"
+  label_id: 30
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "exit"
+  label_id: 31
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "extract"
+  label_id: 32
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "fishing"
+  label_id: 33
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "hit (an object)"
+  label_id: 34
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "kick (an object)"
+  label_id: 35
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "lift/pick up"
+  label_id: 36
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "listen (e.g., to music)"
+  label_id: 37
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "open (e.g., a window, a car door)"
+  label_id: 38
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "paint"
+  label_id: 39
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "play board game"
+  label_id: 40
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "play musical instrument"
+  label_id: 41
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "play with pets"
+  label_id: 42
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "point to (an object)"
+  label_id: 43
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "press"
+  label_id: 44
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "pull (an object)"
+  label_id: 45
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "push (an object)"
+  label_id: 46
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "put down"
+  label_id: 47
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "read"
+  label_id: 48
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "ride (e.g., a bike, a car, a horse)"
+  label_id: 49
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "row boat"
+  label_id: 50
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "sail boat"
+  label_id: 51
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "shoot"
+  label_id: 52
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "shovel"
+  label_id: 53
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "smoke"
+  label_id: 54
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "stir"
+  label_id: 55
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "take a photo"
+  label_id: 56
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "text on/look at a cellphone"
+  label_id: 57
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "throw"
+  label_id: 58
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "touch (an object)"
+  label_id: 59
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "turn (e.g., a screwdriver)"
+  label_id: 60
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "watch (e.g., TV)"
+  label_id: 61
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "work on a computer"
+  label_id: 62
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "write"
+  label_id: 63
+  label_type: OBJECT_MANIPULATION
+}
+label {
+  name: "fight/hit (a person)"
+  label_id: 64
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "give/serve (an object) to (a person)"
+  label_id: 65
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "grab (a person)"
+  label_id: 66
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "hand clap"
+  label_id: 67
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "hand shake"
+  label_id: 68
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "hand wave"
+  label_id: 69
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "hug (a person)"
+  label_id: 70
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "kick (a person)"
+  label_id: 71
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "kiss (a person)"
+  label_id: 72
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "lift (a person)"
+  label_id: 73
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "listen to (a person)"
+  label_id: 74
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "play with kids"
+  label_id: 75
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "push (another person)"
+  label_id: 76
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "sing to (e.g., self, a person, a group)"
+  label_id: 77
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "take (an object) from (a person)"
+  label_id: 78
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "talk to (e.g., self, a person, a group)"
+  label_id: 79
+  label_type: PERSON_INTERACTION
+}
+label {
+  name: "watch (a person)"
+  label_id: 80
+  label_type: PERSON_INTERACTION
+}

data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_action_list_v2.2_for_activitynet.pbtxt

@@ -0,0 +1,240 @@
+item {
+  name: "bend/bow (at the waist)"
+  id: 1
+}
+item {
+  name: "crouch/kneel"
+  id: 3
+}
+item {
+  name: "dance"
+  id: 4
+}
+item {
+  name: "fall down"
+  id: 5
+}
+item {
+  name: "get up"
+  id: 6
+}
+item {
+  name: "jump/leap"
+  id: 7
+}
+item {
+  name: "lie/sleep"
+  id: 8
+}
+item {
+  name: "martial art"
+  id: 9
+}
+item {
+  name: "run/jog"
+  id: 10
+}
+item {
+  name: "sit"
+  id: 11
+}
+item {
+  name: "stand"
+  id: 12
+}
+item {
+  name: "swim"
+  id: 13
+}
+item {
+  name: "walk"
+  id: 14
+}
+item {
+  name: "answer phone"
+  id: 15
+}
+item {
+  name: "carry/hold (an object)"
+  id: 17
+}
+item {
+  name: "climb (e.g., a mountain)"
+  id: 20
+}
+item {
+  name: "close (e.g., a door, a box)"
+  id: 22
+}
+item {
+  name: "cut"
+  id: 24
+}
+item {
+  name: "dress/put on clothing"
+  id: 26
+}
+item {
+  name: "drink"
+  id: 27
+}
+item {
+  name: "drive (e.g., a car, a truck)"
+  id: 28
+}
+item {
+  name: "eat"
+  id: 29
+}
+item {
+  name: "enter"
+  id: 30
+}
+item {
+  name: "hit (an object)"
+  id: 34
+}
+item {
+  name: "lift/pick up"
+  id: 36
+}
+item {
+  name: "listen (e.g., to music)"
+  id: 37
+}
+item {
+  name: "open (e.g., a window, a car door)"
+  id: 38
+}
+item {
+  name: "play musical instrument"
+  id: 41
+}
+item {
+  name: "point to (an object)"
+  id: 43
+}
+item {
+  name: "pull (an object)"
+  id: 45
+}
+item {
+  name: "push (an object)"
+  id: 46
+}
+item {
+  name: "put down"
+  id: 47
+}
+item {
+  name: "read"
+  id: 48
+}
+item {
+  name: "ride (e.g., a bike, a car, a horse)"
+  id: 49
+}
+item {
+  name: "sail boat"
+  id: 51
+}
+item {
+  name: "shoot"
+  id: 52
+}
+item {
+  name: "smoke"
+  id: 54
+}
+item {
+  name: "take a photo"
+  id: 56
+}
+item {
+  name: "text on/look at a cellphone"
+  id: 57
+}
+item {
+  name: "throw"
+  id: 58
+}
+item {
+  name: "touch (an object)"
+  id: 59
+}
+item {
+  name: "turn (e.g., a screwdriver)"
+  id: 60
+}
+item {
+  name: "watch (e.g., TV)"
+  id: 61
+}
+item {
+  name: "work on a computer"
+  id: 62
+}
+item {
+  name: "write"
+  id: 63
+}
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+  name: "fight/hit (a person)"
+  id: 64
+}
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+  name: "give/serve (an object) to (a person)"
+  id: 65
+}
+item {
+  name: "grab (a person)"
+  id: 66
+}
+item {
+  name: "hand clap"
+  id: 67
+}
+item {
+  name: "hand shake"
+  id: 68
+}
+item {
+  name: "hand wave"
+  id: 69
+}
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+  name: "hug (a person)"
+  id: 70
+}
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+  id: 72
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+item {
+  name: "talk to (e.g., self, a person, a group)"
+  id: 79
+}
+item {
+  name: "watch (a person)"
+  id: 80
+}

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data/annotations/AVA-Kinetics/countix/README

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+Countix Dataset
+
+Data is organized as follows:
+1) countix_train.csv - Train split
+2) countix_val.csv - Validation split
+3) countix_test.csv - Test split
+
+Each csv file has the following columns:
+1) video_id - YouTube video ID.
+2) class - Kinetics action class.
+3) kinetics_start - Time in seconds when Kinetics clip starts.
+4) kinetics_end - Time in seconds when Kinetics clip ends.
+5) repetition_start - Time in seconds when repetitions begin in the video.
+6) repetition_end - Time in seconds when repetitions end in the video.
+7) count - The number of times the action was repeated in the video.

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