📺 Instill Console for 🔮 Instill Core: https://github.com/instill-ai/instill-core

Explore computer vision use cases and projects across various industries, including retail, transportation, medical imaging, manufacturing, agriculture, wildlife, and more, leveraging state-of-the-art models for object detection, image segmentation, object tracking, pose estimation, and beyond.

This repository demonstrates YOLOv8-based license plate recognition with GCP Vision AI integration, enabling versatile real-world applications like vehicle identification, traffic monitoring, and geospatial analysis while capturing vital media metadata for enhanced insights.

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

MDDenseResNet : Enhanced Malware Detection Using DNNs

Eagle-Eye-AI is a project designed for the Kria KR260 board that enables AI-driven camera tracking and face detection.

Backend проекта Pinterest команды OND team

Detect text in image, using Autogon AI

🏡 Instill AI organisation profile and default configuration

General vision AI defect detection engine for MLops process/simulations

Yolov4 ONNX Object Detector

Using Google Vision AI

PyCVision is a Python-based real-time object detection system powered by the YOLOv3 (You Only Look Once) algorithm. This project leverages the efficiency and accuracy of YOLOv3 for detecting and classifying multiple objects in live video streams or static images.

People detection and notifications based on the Raspberry Pi + AI Camera

Web scraping and machine learning for sentiment analysis over the history of a term's usage on twitter.

This repository explores OpenAI’s o1 model, a cutting-edge AI designed for abstract reasoning, coding, and vision-based tasks. It provides insights into o1’s strengths, advanced prompting techniques, task delegation, and real-world applications, enabling developers to build intelligent, high-performance AI-driven solutions.

"Nicola Blind Assistant" — мобільний додаток, який допомагає людям з вадами зору орієнтуватися в просторі, розпізнавати текст, об'єкти та обличчя, використовуючи сучасні технології."

Transformer OCR by Torch Lightning

A virtual piano IoT device that uses a Raspberry Pi 4 and a camera to detect finger placement, providing real-time feedback and multi-user access through mobile devices. Components include sensors (camera, PIR, LEDs, LCD), and software like Python, OpenCV, Azure IoT Hub, MQTT, Blynk, and Custom Vision AI.