BloodshotNet open-sources blood detection stack

// 45d 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

45d ago

2026-04-24

PUBLISHED

45d ago

2026-04-24

RELEVANCE

8/ 10

AUTHOR

PeterHash

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

NEWS53m ago

Code with Claude tour hits Tokyo

Anthropic has announced the final stop of its "Code with Claude" developer event series, taking place in Tokyo on June 10–11, 2026. The conference offers developers the chance to engage directly with the teams behind Claude, participate in hands-on workshops, see live demonstrations of new AI capabilities, and learn about building autonomous, production-grade agentic systems.

UPDATE1h ago

Telerik UI for Blazor visualizes AI chat

Progress Telerik has updated its Telerik UI for Blazor suite, introducing new AI Chat capabilities that render charts, tables, and formatted code snippets directly inside the chat component. This integration allows developers to build interactive conversational interfaces that visualize data directly from LLM responses.

UPDATE1h ago

OpenCode adopts FFF for fast file search

OpenCode is upgrading its codebase search in its next release by integrating FFF (Fast File Finder), a Rust-powered fuzzy file search toolkit. FFF indexes files to prioritize search results based on frecency, replacing slower external tools to reduce token consumption and latency.