Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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EPIC-KITCHENS-100 — 256p downsampled RGB videos

A re-encoded copy of the EPIC-KITCHENS-100 RGB video files, scaled to 256-pixel short side using ffmpeg (scale=-2:256, libx264 -preset ultrafast -crf 28, audio stripped).

This mirror exists to save the long download+downsample workflow for researchers running EK100 evaluations that only need 256-pixel input

Folder layout

P01/
  videos/
    P01_01.MP4        (original EK55 series, downsampled to 256p)
    P01_02.MP4
    ...
    P01_101.MP4       (EK100 extension series, downsampled to 256p)
    P01_102.MP4
    ...
P02/
  videos/
    ...
P37/
  videos/
    ...

Citation

If you use this dataset, please cite the original EPIC-KITCHENS-100 authors:

@ARTICLE{Damen2022RESCALING,
           title={Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100},
           author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Furnari, Antonino 
           and Ma, Jian and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan 
           and Perrett, Toby and Price, Will and Wray, Michael},
           journal   = {International Journal of Computer Vision (IJCV)},
           year      = {2022},
           volume = {130},
           pages = {33–55},
           Url       = {https://doi.org/10.1007/s11263-021-01531-2}
}

And please acknowledge this re-encoded mirror where appropriate.

License

This dataset is redistributed under the same CC-BY-NC-4.0 license as the original EPIC-KITCHENS-100 (licence terms). Non-commercial research use only. No modifications were made to the video content beyond spatial downsampling and re-encoding.

Downsampling command (reproducibility)

Each video was produced by:

ffmpeg -y -loglevel error -threads 2 -i <input.MP4> \
       -vf "scale=-2:256" \
       -c:v libx264 -preset ultrafast -crf 28 -an \
       <output.MP4>

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