bengaluru
BengaluruDrivingDatasetRaw
Bengaluru Driving Dataset
Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset Generation pipeline that only uses videos as input to produce high-resolution disparity maps.
Paper
Bengaluru Driving Dataset: 3D Occupancy Convolutional Transformer Network in… See the full description on the dataset page: https://huggingface.co/datasets/AdityaNG/BengaluruDrivingDatasetRaw.BengaluruSemanticOccupancyDataset
Bengaluru Semantic Occupancy Dataset
Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset Generation pipeline that only uses videos as input to produce high-resolution disparity maps.
Dataset Iterator: https://github.com/AdityaNG/bdd_dataset_iterator
Project Page:… See the full description on the dataset page: https://huggingface.co/datasets/AdityaNG/BengaluruSemanticOccupancyDataset.BengaluruEmbeddingsbengaluru-satellite-datasetbengaluru_satellite_imagesBengaluruDrivingEmbeddings