tensorflow_datasets.load('cats_vs_dogs') not working !

[MegaCreater]

Code NOT WORKING

# load dataset module 
import tensorflow_datasets as tfds
# make downloading progress bar dissable 
tfds.disable_progress_bar()
# download data - cats vs dogs 
_=tfds.load('cats_vs_dogs',            # dataset name 
            as_supervised=False,       # include labels - False
          )

ERROR: -> DownloadError: Failed to get url https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip. HTTP code: 404.

Environment - Google Colab

[renwenlong-github]

yes, I get same error

[salray99]

getting this error too. I've been using the archived version to download manually

[plancherb1]

@salray99 how do you use the archived version? I'm getting the same error too -- I think the microsoft link has moved.

[chikakorooney]

I see the same dataset here : https://www.microsoft.com/en-us/download/details.aspx?id=54765 you could download to your local environment or upload to wherever the hosted environment you are running your code ?

[IHackmer19]

Even I got the Error..... But I think we can install it directly from the link given by @chikakorooney and then import it into Google Colab or Visual Studio (Whatever is the environment)......... It worked for me that way, but I had to convert the folder into one manually fed local database, which resets every time....... So is there a easier method or do I have to wait for Tensorflow to fix the link?

[GuillaumeVray]

Hi. I have a temporary solution below to modify the URL:

setattr(tfds.image_classification.cats_vs_dogs, '_URL',"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip")

[IHackmer19]

Hi. I have a temporary solution below to modify the URL:

setattr(tfds.image_classification.cats_vs_dogs, '_URL',"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip")

Thanks Worked for me...........

[realover82]

coding=utf-8

Copyright 2022 The TensorFlow Datasets Authors.

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.

"""Cats vs Dogs dataset."""

import re

from absl import logging
import tensorflow as tf
import tensorflow_datasets.public_api as tfds

_CITATION = """
@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
year = {2007},
month = {October},
publisher = {Association for Computing Machinery, Inc.},
url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},
edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
}
"""

_URL = ("https://download.microsoft.com/download/3/E/1/3E1C3F21-"
"ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip")
#https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip
_NUM_CORRUPT_IMAGES = 1738
_DESCRIPTION = (("A large set of images of cats and dogs. "
"There are %d corrupted images that are dropped.") %
_NUM_CORRUPT_IMAGES)

_NAME_RE = re.compile(r"^PetImages\/[\/]\d+.jpg$")

class CatsVsDogs(tfds.core.GeneratorBasedBuilder):
"""Cats vs Dogs."""

VERSION = tfds.core.Version("4.0.0")
RELEASE_NOTES = {
"4.0.0": "New split API (https://tensorflow.org/datasets/splits)",
}

def _info(self):
return tfds.core.DatasetInfo(
builder=self,
description=_DESCRIPTION,
features=tfds.features.FeaturesDict({
"image": tfds.features.Image(),
"image/filename": tfds.features.Text(), # eg 'PetImages/Dog/0.jpg'
"label": tfds.features.ClassLabel(names=["cat", "dog"]),
}),
supervised_keys=("image", "label"),
homepage="https://www.microsoft.com/en-us/download/details.aspx?id=54765",
citation=_CITATION,
)

def _split_generators(self, dl_manager):
path = dl_manager.download(_URL)

# There is no predefined train/val/test split for this dataset.
return [
    tfds.core.SplitGenerator(
        name=tfds.Split.TRAIN,
        gen_kwargs={
            "archive": dl_manager.iter_archive(path),
        }),
]

def _generate_examples(self, archive):
"""Generate Cats vs Dogs images and labels given a directory path."""
num_skipped = 0
for fname, fobj in archive:
res = _NAME_RE.match(fname)
if not res: # README file, ...
continue
label = res.group(1).lower()
if tf.compat.as_bytes("JFIF") not in fobj.peek(10):
num_skipped += 1
continue
record = {
"image": fobj,
"image/filename": fname,
"label": label,
}
yield fname, record

if num_skipped != _NUM_CORRUPT_IMAGES:
  raise ValueError("Expected %d corrupt images, but found %d" %
                   (_NUM_CORRUPT_IMAGES, num_skipped))
logging.warning("%d images were corrupted and were skipped", num_skipped)

[realover82]

all copy and paste

[realover82]

https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/cats_vs_dogs.py

IT IS GOOD

[ccl-core]

Thank you @MegaCreater for raising the issue, and to all contributors for their comments.

PR#3923 should have solved the issue!

[wbm26]

Hi. I have a temporary solution below to modify the URL:
setattr(tfds.image_classification.cats_vs_dogs, '_URL',"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_5340.zip")

Thanks Worked for me...........
f