A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

Deep learning models and dataset for recognizing industrial smoke emissions

FireDetection is an artificial intelligence project for real-time fire detection and custom images.

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.

SMOKE gridded emissions visualizer. Visualization and QA of CMAQ model emissions inputs.

Pytest plugin for smoke testing

Fire-Detection-Siglip2 is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to detect fire, smoke, or normal conditions using the SiglipForImageClassification architecture.

Fire and Smoke Detection for Oil Industry Safety | YOLOv9

Fire-Detection-Siglip2 is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to detect fire, smoke, or normal conditions using the SiglipForImageClassification architecture.

FireDET is an AI-based system for detecting fire and smoke in images and videos. It ensures fast, accurate alerts to support early response and safety.

Flame, smoke, and human recognition based on the YOLO8 model

WHAT DOES THE DINO DO WHEN THE INTERNET IS WORKING? Command: < LEFT RIGH > UP ^ SPACE = Special Function

scrape site

Formats Utah DAQ point source EI (.csv) for SMOKE input (.orl). Also, scripts are provided for creating MONTHLY profiles.

AI-powered no-smoking detection system using Raspberry Pi, OpenCV, OLED display, and smoke sensor with real-time alerts and web dashboard.