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Hello,
I found a serious misalignment issue in the SSCBench-NUScenes dataset under the path:
📂 SSCBench/sscbench-nuscenes/trainval/sequences/
The scene sequences in sscbench-nuscenes not match the nuScenes dataset correctly.
The number of images in each scene is not consistent with nuScenes.
There are images from different scenes should mixed together.
The scene sequences do not align correctly with the original nuScenes sequences. The only properly aligned sequences are 000000 and 000001, while the rest are mismatched.
Specific Issues
In the nuScenes dataset, scene 000 contains only 40 images ( you can check with code below).
📌 However, in SSCBench, the folder: SSCBench/sscbench-nuscenes/trainval/sequences/000000/image_2/
contains 41 images (0040.png exists but shouldn't).
The last image (0040.png) in 000000/image_2/ actually belongs to scene 001.This means scene transitions are incorrectly handled in SSCBench.
The dataset only contains sequences 000000 ~ 000698, meaning some sequences from nuScenes might be missing or misaligned.
Could you please recheck the dataset alignment and provide an update? This issue could significantly impact model training and evaluation.
Thank you for your work! 🚀
The text was updated successfully, but these errors were encountered:
Hello,
I found a serious misalignment issue in the SSCBench-NUScenes dataset under the path:
📂 SSCBench/sscbench-nuscenes/trainval/sequences/
The scene sequences do not align correctly with the original nuScenes sequences. The only properly aligned sequences are 000000 and 000001, while the rest are mismatched.
Specific Issues
In the nuScenes dataset, scene 000 contains only 40 images ( you can check with code below).
📌 However, in SSCBench, the folder: SSCBench/sscbench-nuscenes/trainval/sequences/000000/image_2/
contains 41 images (0040.png exists but shouldn't).
The last image (0040.png) in 000000/image_2/ actually belongs to scene 001.This means scene transitions are incorrectly handled in SSCBench.
The dataset only contains sequences 000000 ~ 000698, meaning some sequences from nuScenes might be missing or misaligned.
Could you please recheck the dataset alignment and provide an update? This issue could significantly impact model training and evaluation.
Thank you for your work! 🚀
The text was updated successfully, but these errors were encountered: