Download Image Dataset from Google Image Dataset | FREE Labeled Images for Machine Learning

This video titled "Download Image Dataset from Google Image Dataset | FREE Labeled Images for Machine Learning" explains the detailed steps to download and install Google open image datasets to create your own custom dataset where images are already annotated or labeled. The images can be different categories such as dog, person, vehicles, gadgets, etc. So we would be extracting just the required category or specific class images on which you can train your object detection or classification neural network based models. We would be using Open Image Dataset for this purpose. What more amazing is that it's free and available online. We can build and train YOLO 3, v4 related object detection models.

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#GoogleOpenImageDataset #DownloadImageDataset #YOLOObjectDetection

[TheAIUniversity]

State True or False: While Downloading Images from Open Image Dataset, we can limit the number of images we want to download using the filter argument - -limit followed by a numeric number.

[hammadkhan]

Sir please help images are not downloading and the annotations file is downloded for whole dataset means here limit is not working.

[texwiller]

Very good tutorial on how to download images from google!!!
Thank you very much.!

[mohans]

Thanks a lot for this! Very easy to understand, step by step guide!

[ahmed-nmbl]

Dear Mr. Nitin,

Thank you so much for your efforts.
I have a small question, after you download the dataset, it does not contain the label(boundary boxes), why?
How can we do that to download a dataset with the labeling and we can convert it to YOLO extension for using it?

[webslinger]

Hi! how can I download a class having two-words as a description from the command line? Like Computer+mouse. Thank you very much for the videos!

[deniz.]

How should we know the available classes to download ? In this example only Coffee and Tea are presented.

[firmank]

Why is only the "class-descriptions-boxable" file created while the "train-annotation-bbox.csv" file is not generated?

[lunaestella]

Sir i got the csv folder downloaded but not the annotations ? what can be the wrong thing i did?

[muhammadabubakar]

Should spent some money on marketing.
deserve more views.

[SuryaM-ujgs]

im getting this error IndexError: index 0 is out of bounds for axis 0 with size 0 and folder is also empty its not downloading .. can anyone help me with this

[qasimsh]

a question how to save annotation in text file?

[marianaserban]

Hello, can we use this steps for YOLOv5 model? (or higher version)

[hareshkhambhadiya]

In gui, you showed version 6 but in cli you use version 4

[ehtisham]

hi, sir, I am from Pakistan. when I try to download the app. the message show this app is not available in your country. your tutorial is so helpful for me.

[cleverai]

Respected sir, I am working on a classification task of snake images but i have only 5000 images with 35 classes. The labels are annotated into a different csv file(Image_Id and breed). I am facing problem to crate a tarin.csv using my downloaded image dataset. Could you please share a demo code example where I can create a annotation label csv using downloaded images.

[musthaqahmed]

Hey, is this the procedure to download segmented images as well?

[vikashkumar-cree]

Dear Tutor,
I am getting an error 'ModuleNotFoundError: No module named 'awscli.' Infact I was able to download CSV file, but the dataset (train image ) couldn't be downloaded. Kindly help me out

[Lifeofkashh]

i faced the issue of array index out of bound can u solve this ? ERROR MESSAGE : File "main.py", line 37, in <module>
bounding_boxes_images(args, DEFAULT_OID_DIR)
File "C:\Softwares\OIDv4_ToolKit\modules\bounding_boxes.py", line 106, in bounding_boxes_images
class_dict[class_name] = df_classes.loc[df_classes[1] == class_name].values[0][0]
IndexError: index 0 is out of bounds for axis 0 with size 0

[gazalhariri]

interesting tutorial!
I have a question: the speed of downloading the images depends on what? does it depend on my GPU or something else?