Research Project at NCT + published at CURAC 2021
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Updated
Jan 8, 2023 - Python
Research Project at NCT + published at CURAC 2021
Tutorial to demonstrate the computation of training and validation loss using Detectron2
This folder contains data and various code samples related to using object detectors and object segmentation.
Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".
Image segmentation of satellite images of galaxies using machine learning and deep learning tecnique, in order to identifiy galaxies.
RetinaNet and RetinaMask models for object detection based on TensorFlow and DeepCell-tf.
One-stage and two-stage face detection models
Drone Instance Segmentation using Mask RCNNN
Image segmentation which could be extended to any classes
Web application which shows reallife use of computer vision and Machine Learning
Image segmentation with pre-trained models of DeepLabV3 and Mask R-CNN
one-stage and two-stage detectors and segmentation-based detectors
一份关于detectron2的入门级(训练+预测)的代码demo(目标检测/实例分割/全景分割........);An entry-level (training + prediction) code demo for detectron2 (object detection/instance segmentation/panoramic segmentation...)
Facebook AI Performance Evaluation Platform
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