Datasets:
Modalities:
Image
Languages:
English
Size:
100M<n<1B
Tags:
computer-vision
autonomous-driving
driver-attention
gaze-estimation
semantic-segmentation
dataset
License:
Update README.md
Browse filesThe file description of the image segmentation folder has been updated
README.md
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@@ -158,4 +158,28 @@ These files provide **low-level driving signals, ego vehicle states, and scene-l
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- `Tester*_IS/` (instance segmentation outputs)
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- `Tester*_IS/` (instance segmentation outputs)
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### `Tester*_IS/Tester*_<scene_id>_IS/`
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This directory contains **instance segmentation (IS) outputs** for each scene, generated using **CARLA 0.9.15**.
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Each subfolder corresponds to one scene and includes the following files:
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##### `frame_output/`
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- A sequence of **PNG images** representing **instance segmentation foregrounds**
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- Each image corresponds to **one frame**, and is **row-aligned** with the CSV files in other modalities
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- This design enables precise **frame-level alignment and multimodal analysis**
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##### `obj_pixel_table.csv`
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- A lookup table mapping **vehicle IDs to instance segmentation pixel values**
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- Required because in **CARLA 0.9.15**, instance segmentation assigns **random pixel values** to objects in each run
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- This file provides the **ground-truth correspondence** between vehicles and their pixel labels **for this specific scene**
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##### `processed_screenshot.png`
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- A **top-down overview image** captured at the **start of the takeover recording**
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- Visualizes the **vehicle–pixel correspondence**, where connecting lines indicate matched vehicles and pixel labels
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- This file is intended **for validation and debugging only**
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**Important note:**
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If abnormal vertical lines or incorrect non-motorized object segmentation are observed in `processed_screenshot.png`, the data in this folder **should not be used**, as it indicates unreliable instance segmentation results for the scene.
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Together, these files support **pixel-level, object-aware analysis** of driver attention and scene context, and are designed to be used jointly with gaze annotations and feature CSV files.
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