README.md · skylord/ReWilding-Europe-Yolov8 at main

metadata

license: mit
language:
  - en
metrics:
  - f1
  - precision
  - recall
  - mape
pipeline_tag: object-detection
tags:
  - biology
  - climate

The model was trained using Ultralytics Yolov8m model

The dataset was the ReWilding Europe dataset which has around 70+ species, however a smaller sample of 30 classes was taken. The criteria for selection was the data distribution with a minimum cutoff for each class.

A European Fallow Deer.

Model performance

co2_eq_emissions:

emissions: 9.07 kg of CO2 eqv (in grams of CO2)
source: "source of the information, directly from code carbon or from a scientific article documenting the model"
training_type: "pre-training or fine-tuning" for 60 hours (aprox)
geographical_location: Western India
hardware_used: 1 RTX 3090

A European Fallow Deer.

emissions: 9.07 kg of CO2 eqv (in grams of CO2) source: "source of the information, directly from code carbon or from a scientific article documenting the model" training_type: "pre-training or fine-tuning" for 60 hours (aprox) geographical_location: Western India hardware_used: 1 RTX 3090

emissions: 9.07 kg of CO2 eqv (in grams of CO2)
source: "source of the information, directly from code carbon or from a scientific article documenting the model"
training_type: "pre-training or fine-tuning" for 60 hours (aprox)
geographical_location: Western India
hardware_used: 1 RTX 3090