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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Selfie and Video on Back Camera Dataset

The dataset consists of selfies and video of real people made on a back camera of the smartphone. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

The dataset includes 2 different types of files:

Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible.
Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset

Content

Phone models in the datset:

iPhone 13 mini
iPhone 11
iPhone XR
iPhone 8 plus
Samsung A80
Samsung galaxy A51 5G
Samsung A32
Samsung Galaxy S10 5G

File with the extension .csv

includes the following information for each media file:

photo: link to access the selfie,
video: link to access the video,
phone: the device used to capture selfie and video,
gender: gender of a person,
age: age of the person,
country: country of the person

💴 Buy the Dataset: This is just an example of the data. Leave a request on the our website to discuss your requirements, learn about the price and buy the dataset

This is just an example of the data

Our Team

keywords: biometric system, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, object detection dataset, deep learning datasets, computer vision datset, human images dataset, human videos dataset, human faces dataset, machine learning, video-to-image, re-identification, verification models, video dataset, video classification, video recognition, photos and videos

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