CCTV Curation Dataset 1 Computer Vision Project

Here are a few use cases for this project:

1. Traffic Management: This computer vision model could be used for real-time traffic monitoring, detecting different types of vehicles and providing useful data for congestion analysis, traffic flow prediction, etc.

2. Security Surveillance: Detecting individuals with descriptions (like a "banker" or "customer") would facilitate robust surveillance in banking institutions, malls, and stores. Unusual activity could potentially be identified and flagged immediately.

3. Smart-City Infrastructure: The model could contribute to the development of smarter and safer cities by identifying and tracking VRU (Vulnerable Road Users) such as pedestrians, cyclists, and motorcyclists, leading to improved urban planning and policy.

4. Autonomous Vehicle Training: The autonomous vehicle industry could use this dataset to train self-driving cars to differentiate between various moving objects, like cars, bikes, scooters, and pedestrians, which is crucial for safe operation.

5. Accident Analysis: In cases of accidents, video footage can be analyzed to determine the cause – e.g., identifying a bike or pedestrian in a blind spot. The dataset can be used to train models to analyze CCTV footage to aid insurance claim verifications.