Previous discussions such as https://zindi.africa/competitions/giz-nlp-agricultural-keyword-spotter/discussions/3399 have asked about the use of pre-trained models or external datasets. We clarified that participants should stick to the competition data or 'standard' options like the pre-trained imagenet models built into many libraries. However, we did mention that anyone with suggestions for other open-source resources they thought would be useful should get in touch.

Based on your suggestions, we're adding the following resources as allowable in the competition: - https://github.com/tensorflow/models/tree/master/research/audioset/vggish - https://github.com/qiuqiangkong/audioset_classification - https://github.com/qiuqiangkong/audioset_tagging_cnn

Note that with only a month left we will not be making further changes in the interest of fairness.