A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
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Process raw.csv to append more records to training.csv #8
The new raw.csv file contains all hotspot detections, including ones we don't care about (duplicates) and ones we don't have imagery data for yet. It's also in a different schema than the training.csv file. This task is to process raw.csv to extract only the records that have at least thermal data in our datasets (01-99), convert those records to the training.csv schema, and append the records that are not already in training.csv (raw.csv is a superset of training.csv).
This ended up only yielding 23 net new records for which we currently have IR/color data. I've checked in the script changes (in parse-labels) to allow us to try this again once we have more data.
The new raw.csv file contains all hotspot detections, including ones we don't care about (duplicates) and ones we don't have imagery data for yet. It's also in a different schema than the training.csv file. This task is to process raw.csv to extract only the records that have at least thermal data in our datasets (01-99), convert those records to the training.csv schema, and append the records that are not already in training.csv (raw.csv is a superset of training.csv).