Difference between revisions of "Hood Ubuntu TensorFlow Datasets 20211112"

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= TBD =
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'''TBD: Expand and Organize''': These are scattered notes.
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= Datasets =
 
= Datasets =
  
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= Downloads =
 
= Downloads =
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== ssd_mobilenet ==
  
 
   $ wget http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz
 
   $ wget http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz
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       2021-09-03 17:11:41 (9.25 MB/s) - ‘ssd_mobilenet_v1_coco_2017_11_17.tar.gz’ saved [76534733/76534733]
 
       2021-09-03 17:11:41 (9.25 MB/s) - ‘ssd_mobilenet_v1_coco_2017_11_17.tar.gz’ saved [76534733/76534733]
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See also
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  ssd_mobilenet_v1_coco_2017_11_17.tar.gz(76.53 MB)
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  https://www.kaggle.com/manishrai/pre-trained-model-evaluation/data
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== Cats and Dogs ==
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Microsoft
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* [https://www.microsoft.com/en-us/download/details.aspx?id=54765 Kaggle Cats and Dogs Dataset]
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* Ended up in ~/Downloads as <tt>kagglecatsanddogs_3367a.zip</tt>
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Also found at TensorFlow Lesson 05 <tt>Going Further with CNNs</tt>
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* [https://classroom.udacity.com/courses/ud187 Intro to TensorFlow for Deep Learning]
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* [https://www.tensorflow.org/datasets/catalog/overview TensorFlow Catalog]
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** Scroll to bottom part to "All Datasets"
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***  "Image Classification" section
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****  <tt>cats_vs_dog</tt> link
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= Model Location Code =
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Used to find the model so it can be loaded.
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* The <tt>model.py</tt> is used in TensorFlow Object Detector found at [[Install Turtlebot3 Hood Waffle Foxy Tensorflow 20210615]].
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* Also see [[Add Server Turtlebot3 Hood Waffle Foxy Tensorflow 20210615]]
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* The code is found in <tt>~/ros2-tensorflow/ros2-tensorflow/tf_detection_py/tf_detection_py/models.py</tt>
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= Object detection coco =
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* https://www.tensorflow.org/datasets/catalog/coco
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* https://cocodataset.org/#home
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== fiftyone-example ==
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* https://colab.research.google.com/github/voxel51/fiftyone-examples/blob/master/examples/quickstart.ipynb#scrollTo=lgS1GxwJGneY
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= May be Interesting =
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* [https://arxiv.org/pdf/1704.04861.pdf MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications]

Latest revision as of 15:30, 9 December 2021

TBD

TBD: Expand and Organize: These are scattered notes.

Datasets

Downloads

ssd_mobilenet

 $ wget http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz
      --2021-09-03 17:11:32--  http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz
      Resolving download.tensorflow.org (download.tensorflow.org)... 172.217.14.208, 2607:f8b0:400a:801::2010
      Connecting to download.tensorflow.org (download.tensorflow.org)|172.217.14.208|:80... connected.
      HTTP request sent, awaiting response... 200 OK
      Length: 76534733 (73M) [application/x-tar]
      Saving to: ‘ssd_mobilenet_v1_coco_2017_11_17.tar.gz’

      ssd_mobilenet_v1_co 100%[===================>]  72.99M  9.19MB/s    in 7.9s    

      2021-09-03 17:11:41 (9.25 MB/s) - ‘ssd_mobilenet_v1_coco_2017_11_17.tar.gz’ saved [76534733/76534733]

See also 

 ssd_mobilenet_v1_coco_2017_11_17.tar.gz(76.53 MB)
 https://www.kaggle.com/manishrai/pre-trained-model-evaluation/data

Cats and Dogs

Microsoft

Also found at TensorFlow Lesson 05 Going Further with CNNs

Model Location Code

Used to find the model so it can be loaded.

Object detection coco

fiftyone-example

May be Interesting

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