Yolo Object Detection

Project

This repository contains the complete pipeline for creating, training and testing your own object detection model using Yolov3.
YOLO is one of the faster object detection algorithms out there. This Framework helps YOLO to detect custom objects, in Videos and Images. YOLOv3 is a real-time, single-stage object detection model that builds on YOLOv2 with several improvements. Improvements include the use of a new backbone network, Darknet-53 that utilises residual connections.

Environments

YOLOv3 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab:

• What types of GPUs are available in Colab?
  The types of GPUs that are available in Colab vary over time. This is necessary for Colab to be able to provide access to these resources for free. The GPUs available in Colab often include Nvidia K80s, T4s, P4s and P100s. There is no way to choose what type of GPU you can connect to in Colab at any given time. Users who are interested in more reliable access to Colab’s fastest GPUs may be interested in Colab Pro.

• Kaggle provides free access to NVidia K80 GPUs in kernels:

• What types of GPUs are available in Kaggle? The GPUs available in Colab often include NVidia K80 GPUs. The time limit for access to GPUs per user is 30 hours per month.

Reference Paper

• YOLO9000: Better, Faster, Stronger - Joseph Redmon, Ali Farhadi
• YOLOv3: An Incremental Improvement - Joseph Redmon, Ali Farhadi
• YOLO: Real-Time Object Detection - Project link
• Who Let The Dogs Out? Modeling Dog Behavior From Visual Data - Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi
• IQA: Visual Question Answering in Interactive Environments - Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks - Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi
• NVIDIA Cudnn - NVIDIA cuDNN

License

This project is under the MIT license. See the LICENSE for more information.