NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
Jun 9, 2024 - Python
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A python based helmet detection system
This repository contains code for detecting sign language gestures using YOLOv5. It includes data collection, model training, and detection scripts.
Detection models and Python scripts for automated insect monitoring with the Insect Detect DIY camera trap.
This project uses YOLOv5 and YOLOv8 models to analyze traffic patterns in Bangladesh, trained on the RSUD20k dataset. It explores various image augmentation techniques like random cropping, scaling, and photometric distortions, assessing their impact on model performance and real-world applications in autonomous vehicle deployment.
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
The Autonomous Person Tracking Car leverages YOLOv5 for object detection and DeepSORT for object tracking, implemented on an NVIDIA Jetson Nano.
Faces detection with blur effect applied on detected faces
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Tool for onnx->keras or onnx->tflite. If tool is useful for you, please star it.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
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