@amyflorida626 Can we make correction on those images that are wrongly labelled using python based on what our image preprocessing exploratory analysis/method revealed to us.
Hello @amyflorida626. I would like to clearly understand what hand labeling means for this competition. For this competition, the NUMBER OF PALM TREES is the LABEL. Keeping this in mind will the following strategies be considered hand labeling?
Strategy 1: Manually crop a few palm trees from images and use them as a template to recognize palm trees in images.
Strategy 2: Manually draw bounding boxes around palm trees and use this data to train models.
Hello @amyflorida626. Any reason as to why this rule is in place? I am asking because it does not mimic the real-world.
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Yes exactly @theuntitled.
@amyflorida626 Can we make correction on those images that are wrongly labelled using python based on what our image preprocessing exploratory analysis/method revealed to us.
Hello @amyflorida626. I would like to clearly understand what hand labeling means for this competition. For this competition, the NUMBER OF PALM TREES is the LABEL. Keeping this in mind will the following strategies be considered hand labeling?
Strategy 1: Manually crop a few palm trees from images and use them as a template to recognize palm trees in images.
Strategy 2: Manually draw bounding boxes around palm trees and use this data to train models.
This is not an object detection task, it is an image regression task as this is more useful to the client.
Bounding boxes are an expensive way to label data in comparison to raw count.