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@@ -9,7 +9,7 @@ All code is tested on Windows 10 and Python 3.11, without GPU. GPU would obvious
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To create your own custom CV model:
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1. Input names (scientific names) in the names.csv file, in the data folder
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2. Download the GBIF repository of your choosing, or download a prepared dataset linking to 16M images of many insect species: https://doi.org/10.15468/dl.dk9czq
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3. Update the path in collect_images.py on line 35 and line 53, to route to the unzipped GBIF downloaded files.
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3. Update the path in collect_images.py on line 36 and line 54, to route to the unzipped GBIF downloaded files.
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4. In collect_images.py, consider activating the sampling function, to reduce the number of images to download per species - in the case of many insect species, the download will take longer.
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5. run collect_images.py, this fetches the names, iterates through them, and attempts to download images from a GBIF data repository.
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6. As an example, for about 8 insect species, ending up with 4000 images, the entire operation might take +-20 minutes, depending on your internet speed and hardware.
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