Here are a few use cases for this project:

1. Wildlife Conservation: Researchers and wildlife conservationists can use this model to automatically identify and count various animal species in wildlife surveillance images or videos, helping in population tracking and habitat studies.

2. Smart Farming: The model can be integrated within innovative farming technologies to monitor livestock, identifying each animal and aiding farmers in managing their stock more efficiently.

3. Animal Behavior Study: Researchers can use this tool to analyze animal interactions and behavior patterns in both captivity and the wild by identifying different animal species in video footages.

4. Automated Hunting Management: The tool can be used to manage hunting activities by identifying the type and quantity of animals in a given area, supporting sustainable hunting practices.

5. Pet Identification: In residential and urban contexts, the computer vision model could be used in surveillance systems to recognize pet behavior, identify lost pets, or prevent animal-related mishaps by identifying animals in restricted areas.