Omkar2118/datasets huggingface dataset:
FGVD
Full name: Fine-Grained Vehicle Detection

**Fine-Grained Vehicle Detection** (**FGVD**) is a dataset for fine-grained vehicle detection captured from a moving camera mounted on a car. The FGVD dataset is challenging as it has vehicles in complex traffic scenarios with intra-class and inter-class variations in types, scale, pose, occlusion, and lighting conditions.

It contains 5502 scene images with 210 unique fine- grained labels of multiple vehicle types organized in a three-level hierarchy. While previous classification datasets also include makes for different kinds of cars, FGVD introduces new class labels for categorizing two-wheelers, autorickshaws, and trucks.

Source: [A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads](https://arxiv.org/pdf/2212.14569v1.pdf)

Image Source: [https://github.com/iHubData-Mobility/public-FGVD](https://github.com/iHubData-Mobility/public-FGVD)

Introducing paper: A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads