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license: mit |
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language: |
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- en |
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metrics: |
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- f1 |
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- precision |
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- recall |
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- mape |
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pipeline_tag: object-detection |
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tags: |
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- biology |
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- climate |
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The model was trained using Ultralytics Yolov8m model |
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The dataset was the ReWilding Europe dataset which has around 70+ species, however a smaller sample of 30 classes was taken. |
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The criteria for selection was the data distribution with a minimum cutoff for each class. |
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A European Fallow Deer. |
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Model performance |
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co2_eq_emissions: |
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emissions: 9.07 kg of CO2 eqv (in grams of CO2) |
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source: "source of the information, directly from code carbon or from a scientific article documenting the model" |
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training_type: "pre-training or fine-tuning" for 60 hours (aprox) |
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geographical_location: Western India |
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hardware_used: 1 RTX 3090 |
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