A paper list of object detection using deep learning.
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Updated
Feb 12, 2024 - Python
A paper list of object detection using deep learning.
streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, and Qwen2-VL
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. N…
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.
Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'
Light-Head RCNN and One Novel Object Detector
Historical OpenStreetMap Objects to Machine Learning Training Samples
TensorFlow and Pytorch practice codes with purity and simplicity.
Automatic Annotation tool for labelling images in bulk with their corresponding bounding box annotations.
Keras implementation of RetinaNet for object detection and visual relationship identification
YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection
AI Talent Programme 2
This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers …
MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network
this repo attemps to reproduce DSOD: Learning Deeply Supervised Object Detectors from Scratch use gluon reimplementation
Real-time object detection and tracking for autonomous driving.
This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.
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