__Locations of verified cameras in 10 large U.S. cities for the period 2016–2020. Densely clustered areas of points indicate regions with high camera density in each city. Camera density varies widely between neighborhoods. Note: Scale varies
- [PyTorch](https://pytorch.org/) ≥ 1.6 and [torchvision](https://github.com/pytorch/vision/) that matches the PyTorch installation. Install them together at [pytorch.org](https://pytorch.org/) to make sure of this
- [Detection2](https://github.com/facebookresearch/detectron2). The installation instruction of Detection2 can be found [here](https://detectron2.readthedocs.io/en/latest/tutorials/install.html)
By now, lots of Steetview images from the original dataset have become unavailable. We can filter these by scanning for duplicates (as these now downloaded as to the same error image)
Here, `panoid` and `heading` refer to the ID and heading of each street-view image.
## Analysis
To reproduce the figures and tables in our paper, run the `analysis/results.Rmd` script.
You'll need to download our camera and road network data [available here](https://storage.googleapis.com/scpl-surveillance/camera-data.zip) into a `data` directory in the root of this repository.
## Artifacts
### Annotations
Our collected camera annotations can be downloaded as follows: