Lima001/UFPR-VCR-Dataset
UFPR-VCR: a dataset for vehicle color recognition that includes 10,039 images of vehicles in a wide range of real-world conditions, such as frontal and rear views, partial occlusions, diverse lighting situations, and nighttime scenes.
This dataset helps researchers and developers working on vehicle color recognition. It provides over 10,000 images of cars, vans, buses, and trucks under diverse real-world conditions like varying light, occlusions, and different viewing angles. The output is a collection of images annotated with one of eleven distinct vehicle colors, useful for training and evaluating machine learning models.
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Use this if you need a robust and varied image dataset to develop or benchmark algorithms for identifying vehicle colors in challenging real-world scenarios.
Not ideal if you require vehicle information beyond color, such as make, model, or license plate details, or if your project is for commercial use.
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Oct 20, 2024
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