Abstract
We present a fully annotated database of Indian traffic signs for classification with nearly 1700 images. The images have been taken in varied weather conditions in daylight. The images are of varied parameters and reflect strong variations in terms of occlusion, illumination, skew, distance and other conditions. Semi-automated annotation makes the ground truth reliable. This is the first such attempt to make an Indian database to the best of our knowledge.
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Sanyal, B., Mohapatra, R.K., Dash, R. (2020). Fully Annotated Indian Traffic Signs Database for Recognition. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_63
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DOI: https://doi.org/10.1007/978-981-15-4032-5_63
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