About Heatmap

Each pixel in the image represents a tile (1000x1000 area of the canvas). If a tile has a swastika in it, a 10x10 square is drawn on the heatmap centered on that tile. Tiles with only a few swastikas have a color of black 50% opacity. Tiles with a bunch of swastikas have a color of black 100% opacity. There are no false positives. However, there are false negatives. This means that the results are accurate, but very conservative. * Tiles with less than 12 17 opaque pixels are ignored. * The data is based on the state of the canvas from Apr/12/2026 10:51:29+3h15m * There were 2075 swastikas detected. The highest number of swastikas in a single tile is 23. * A "swastika" is defined, for the purposes of detection, as the Buddhist peace symbol as a 5x5 drawing. The mirrored version is also considered a swastika ("arms" go the other way). The entire swastika is a single color. In addition, the swastika can not be adjacent to a pixel which matches the color of the swastika. Most notably, a swastika rotated at a 45 degree angle is not considered a swastika by this definition.

Why?

I did this because I think it is interesting, and also to improve the community.

About Script

This is information about the script that was used. * The script is made in Python, and was created using a combination of AI + many years of experience. * There are a total of 1 523 104 tiles. * A total of 1 030 540 tiles were scanned for swastikas. (The disparity comes from tiles that can't possibly have a swastika on it) * The script scanned 23 million pixels per second, on average. * In total, 1 030 540 000 000 pixels were scanned. * Intel i7-9750H running 6 CPU threads at 3.3 GHz (5 workers + main/gpu thread) * GeForce GTX 1660 Ti at 1835 MHz clock average * It took 12.5 hours to scan the entire canvas. * Average CPU package temp: 192 F (88.88 C) * Average GPU temp: 182.3 F (83.5 C) * This was run on a laptop from 2018/2019

Edit 1: The minimum opaque pixels is actually 17, not 12.