This website uses Cookies. Click Accept to agree to our website's cookie use as described in our Privacy Policy. Click Preferences to customize your cookie settings.
Accept
Reject
Preferences
Log in to ask a question
Get hands-on experience with 20+ free Google Cloud products and $300 in free credit for new customers.
Log in to ask a question

How to Export Predictions (keywords) Made with Vertex AI to Images

Posted on 12-12-2023 09:36 PM
deep-aid
Bronze 1
Bronze 1
Reply posted on --/--/---- --:-- AM

So I managed to create a data set, train a model, create a batch and run the model successfuly, and retrieve the data generated. The final step would be to actually use the data generated...Im having trouble with this. The results/predictions are in a jsonl file. Viewing that file im able to see the file names of the images and the keywords the model asssociated with them. But im stumped on what to do next. I mainly use xnviewmp for my images, creating keywords, etc. But their doesnt seem to be a way to import the keywords generated with Vertex AI and attach them to the corresponding image. I need a way to add the keywords in bulk. Anyone have any suggestions? Theres gotta be a tool that can do this. Basically a spreadsheet that lets me copy and paste in keywords to individual images. It was a lot of work getting this far, I dont want to quit so close to the end! Thank you in advance!

Solved Solved
1 2 796
Jump to Solution
1 ACCEPTED SOLUTION

Posted on --/--/---- --:-- AM
Poala_Tenorio
Staff
Reply posted on --/--/---- --:-- AM

Handling and associating generated keywords with images can indeed be a crucial step in utilizing the output from your model effectively.

You can try using a CSV or spreadsheet software (Excel, Google Sheets, etc.) where one column contains the image file names, and another column for the corresponding keywords generated by your model.

Ensure the image file names in your JSONL file match the file names in your dataset or folder structure. You can manually copy the keywords from your JSONL file and paste them alongside the respective image names in the spreadsheet. This would create a direct mapping between the images and their associated keywords.

Once your spreadsheet is ready with image names and their respective keywords, you might find tools or scripts that can automate the process of updating the keywords for your images. Some image management software or metadata editors might support importing keyword data from a CSV or spreadsheet. Explore metadata editing tools or batch processing tools that allow bulk editing of image metadata. A tool like ExifTool might offer functionality to import metadata from a CSV file and apply it to corresponding images.

If your dataset is extensive, you might consider writing a script in a programming language like Python to automate the process of associating keywords with images based on the data in your CSV file.

This process might depend on the capabilities of the tools you're using and the format of your data. It could involve a combination of manual work and scripting to efficiently associate keywords with your images in bulk.

View solution in original post

Jump to Solution
2 REPLIES 2