icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

An easy way to train a Yolo object detector with your custom images dataset, using PyTorch

YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Official PyTorch implementation of our AAAI 2026 paper, "YOLO-IOD: Towards Real Time Incremental Object Detection"

A collection of skills and MCP systems to enable users of CLI, VSCode, Claude to operate over Microsoft Fabric

Python scripts performing object detection using the YOLOv8 model in ONNX.

Real-time object detection using YoloV1 in PyTorch on video and webcam feed.

Created a computer vision pipeline to detect and classify cars as SUVs or sedans using transfer learning on Mobilenet and object detection using YOLOv3.

Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Apply object detection with Faster R-CNN to classify predetermined objects using objects name and/or to use the likelihood of the object.

A lightweight, lightning-fast, in-process vector database

People Counting in Real-Time with an IP camera.

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Open-source context retrieval layer for AI agents

"🐈 nanobot: The Ultra-Lightweight OpenClaw"

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

You can find links to data acquisition websites.

OSINT Framework

IPB-GPT Research Assistant