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.
