Skyrmion/VCBM
Video Classification • Updated
file_name stringlengths 40 40 | maneuver int64 0 6 | gaze_eX int64 0 14 | ego_eX stringclasses 68
values |
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About Dataset
The DAADX Dataset is derived from DAAD dataset (https://cvit.iiit.ac.in/research/projects/cvit-projects/daad#dataset), which contains all the captured videos for the Driver Intention Prediction task. We are introducing the first video based explanations dataset for driver intention prediction task. This will be help in further the research interms of making an explainable Autonomous Driving or ADAS System.
DAAD-X contains explanations for each maneuver instance, these explanations corresponds to both Driver's perspective (Gaze explanations) and Car's perspective (Ego Explanations). This will help in understanding why the model predicts the particular maneuver with high level human understandable explanations.
For further details, please refer to the following resources:
Project Page: https://mukil07.github.io/VCBM.github.io/
Paper: https://arxiv.org/pdf/2510.09200
Code: https://github.com/Mukil07/DIP-Explainability/tree/main
Checkpoint: https://huggingface.co/Skyrmion/VCBM/tree/main
The train/val/test csv contains multiple rows, where each row corresponds to the particular video capture. The values in each row contains comma separated entires.
They are video id, manuever class (7 classes), gaze explanations (15 classes), one hot encoded ego explanations (17 entries).
The maneuver class mapping is as follows:
0: Straight
1: Stop
2: Left Turn
3: Left Lane Change
4: Right Turn
5: Right Lane Change
6: U Turn
The gaze explanation (gaze_eX) class mapping is as follows:
0: The Gaze is mostly towards the forward direction
1: The Gaze is mostly towards the traffic ahead
2: The Gaze is towards the action inducing objects
3: The Gaze is towards the right side mirror
4: The Gaze is on the left side and slowly changes to right side
5: The Gaze is mostly towards the front right side
6: The Gaze is initially towards left side and then moves to the right side
7: The Gaze is mostly towards the right side
8: The Gaze is mostly towards the right side mirror
9: The Gaze is towards the front right side
10: The Gaze is mostly towards the front left side
11: The Gaze is initially towards the right side and then moves to left side
12: The Gaze is mostly to the left side
13: The Gaze is mostly towards the left side mirror
14: The Gaze is towards the front left side
The order of explanations in the one hot encoded ego explanations (ego_eX) vector is as follows:
0: The Ego vehicle is nearing an intersection and theres no traffic light
1: The Ego vehicle is nearing an intersection and traffic light is green
2: The Ego vehicle follows the traffic ahead
3: The road is clear ahead
4: The Ego vehicle deviates to avoid slow vehicle/obstacles and moves straight
5: The vehicle ahead slows down
6: Pedestrian or Vehicle cutting in the path ahead
7: The Ego vehicle is nearing an intersection and traffic light is red
8: The Ego vehicle joins the traffic moving to the right
9: A right turn coming ahead
10: The traffic moves from the left to right side at the intersection
11: The traffic moves from the right to left side at the intersection
12: The road is clear ahead on the right lane
13: No Speeding vehicle on the right lane is coming from the rear right side
14: A left turn coming ahead
15: The road is clear ahead on the left lane
16: No Speeding vehicle on the left lane is coming from the rear left side
Note: The video name is common across all the video folders, i.e. lets say 2b69bf02-f20a-4ea4-8100-aeac205c6e17.mp4 will be available in front, rear, right, left, driver and ariagaze folders. They are time synced videos captured at the particular manuever.
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Models trained or fine-tuned on Skyrmion/DAAD-X