REDDIT · REDDIT// 5h agoOPENSOURCE RELEASE

BloodshotNet open-sources blood detection stack

BloodshotNet packages a 23k+ image dataset, YOLO26 small and nano weights, and a CLI for detecting blood in images, folders, and video. It is aimed at trust-and-safety and moderation workflows as a front-line filter before humans see graphic content.

// ANALYSIS

BloodshotNet is more than a model drop because the dataset, weights, and CLI make the workflow immediately usable. The tradeoff is clear: it is tuned for practical filtering rather than perfect per-frame vision, and the dataset quality plus hard-negative mix matter more here than a flashy benchmark.

// TAGS

bloodshotnetopen-sourceopen-weightsclisafetyinference

DISCOVERED

5h ago

2026-04-24

PUBLISHED

6h ago

2026-04-24

RELEVANCE

8/ 10

AUTHOR

PeterHash