--- license: cc-by-nc-sa-4.0 language: - en - es pipeline_tag: image-classification tags: - ecology - wildlife - conservation - nature - namibian fauna ---

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This is a species classification model for camera trap images to identify 30 species or higher level taxons present in the Skeleton Coast National Park. The model was trained on a set of more than 850,000 images. The classification model has an overall validation accuracy of 95.3%, a precision of 95.4%, and a recall of 95.3%. It is designed to be used in conjunction with MegaDetector as a feature extractor. This pipeline is integrated into the open-source camera trap analysis software [EcoAssist](https://addaxdatascience.com/ecoassist/). More info on the model: https://addaxdatascience.com/projects/2023-01-dlc/ | Class | Precision | Recall | Accuracy | |-------------------|-----------|---------|----------| | aardwolf | 84.9% | 93.5% | 89.0% | | african wild cat | 98.9% | 98.5% | 98.7% | | baboon | 93.9% | 96.5% | 95.2% | | bird | 92.1% | 92.9% | 92.5% | | brown hyaena | 96.3% | 97.6% | 97.0% | | caracal | 75.0% | 85.7% | 80.0% | | cattle | 96.2% | 99.1% | 97.6% | | cheetah | 88.8% | 95.9% | 92.2% | | donkey | 93.0% | 67.7% | 78.4% | | elephant | 97.3% | 95.5% | 96.4% | | fox | 80.4% | 77.4% | 78.9% | | gemsbok | 94.4% | 96.1% | 95.3% | | genet | 87.5% | 50.0% | 63.6% | | giraffe | 97.5% | 96.9% | 97.2% | | hare | 98.6% | 97.5% | 98.0% | | honey badger | 70.7% | 78.4% | 74.4% | | hyrax | 94.1% | 100.0% | 97.0% | | jackal | 83.5% | 90.5% | 86.9% | | klipspringer | 77.8% | 93.3% | 84.8% | | kudu | 90.8% | 98.8% | 94.6% | | leopard | 93.4% | 81.4% | 87.0% | | lion | 96.8% | 96.6% | 96.7% | | mongoose | 76.5% | 89.5% | 82.5% | | ostrich | 92.9% | 94.9% | 93.9% | | porcupine | 98.0% | 96.5% | 97.2% | | rhinoceros | 89.1% | 94.8% | 91.9% | | spotted hyaena | 96.4% | 92.9% | 94.6% | | springbok | 91.5% | 90.3% | 90.9% | | steenbok | 85.7% | 95.0% | 90.1% | | zebra | 98.1% | 93.5% | 95.7% |