Single Shot MultiBox Detector implemented with TensorFlow
MIT License
The code for OpenmmLab challenge.
VGG16 network for recognition
pytorch 实现的S3FD,对原来的代码进行了优化,更简洁高效
使用 TensorFlow Object Detect API 完成对苹果、香蕉、橙子的目标检测。
A python program to detect and classify hand pose using deep learning techniques
Digit detection using a custom YOLOv2 TF2 implementation with a toy dataset
pytorch 实现的DSFD, 更高效更简洁
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language...
SSD: Single Shot MultiBox Detector in keras.
Using Tensorflow's Object Detection API to detect R2-D2 and BB-8 from Star Wars in videos and ima...
A super clean implementation of SSD (Single Shot MultiBox Detector) made possible by Tensorflow 2.0
My proprietary procedure. Caffe implementation of SSD and SSDLite detection on MobileNetv2, conve...
An image recognition/object detection model that detects handwritten digits and simple math opera...