Custom YOLOv5 fork for the Insect Detect DIY camera trap.
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Updated
Jun 2, 2024 - Python
Custom YOLOv5 fork for the Insect Detect DIY camera trap.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Decoupled Kullback-Leibler Divergence Loss (DKL)
This repository serves as a showcase for my data science projects, demonstrating a project on classification on HDPE and PET plastic bottle waste using convolution neural networks
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Classifying a emotions from an image is accomplished through Deep Learning models, with implementation conducted in TensorFlow.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
This comprehensive collection covers everything from the foundational basics to advanced techniques related to MATLAB. I will try to cover the basic introduction, looping, plotting, image processing, and some concepts of machine learning.
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Image Classifier for Security Cameras
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
基于人工智能的中医图像分类, 本存储库包含一个针对中药的人工智能图像分类系统。该项目的目标是通过输入图像准确识别和分类各种中草药和成分。这个仓库里藏着一个神秘的宝藏——一个专为中药打造的人工智能图像分类系统。就像一位奇幻冒险中的导航者,这个项目的任务是将神秘的图像输入,变幻成准确的中草药和成分分类。让我们一起揭开这个数字世界中的迷雾,解锁植物的秘密,用技术和智能描绘中药的未知领域。
This repository is dedicated to small projects and some theoretical material that I used to get into Computer Vision using TensorFlow in a practical and efficient way.
My 2024 Thesis. Developing an occlusion-aware engagement detection system.
A skin cancer diagnosis system using CNN and LSTM analyzes sequential images of skin lesions. This combines image analysis with temporal data, aiding in early detection and monitoring of skin conditions.
Sustainable agriculture is farming in sustainable ways meeting society's present food and textile needs, without compromising the ability for current or future generations to meet their needs.
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