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Most popular metrics used to evaluate object detection algorithms.
Updated
Aug 28, 2020
Python
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Updated
Sep 11, 2020
Python
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
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Jul 12, 2020
Python
Updated
Sep 18, 2020
TypeScript
DeepLab-ResNet rebuilt in TensorFlow
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Oct 24, 2018
Python
DeepLabv3+ built in TensorFlow
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Jan 28, 2020
Python
Updated
Apr 4, 2019
Jupyter Notebook
Label images and video for Computer Vision applications
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May 7, 2020
Python
Real-time object detection on Android using the YOLO network with TensorFlow
DeepLab resnet v2 model in pytorch
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Aug 29, 2019
Python
This repository contains the source code of our work on designing efficient CNNs for computer vision
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May 13, 2020
Python
DeepLabv3 built in TensorFlow
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Sep 30, 2018
Python
Convert between visual object detection datasets
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May 13, 2020
Python
DeepLab-ResNet rebuilt in Pytorch
Updated
Nov 12, 2018
Python
DeepLab-LargeFOV implemented in tensorflow
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Feb 11, 2017
Python
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
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Sep 4, 2020
Python
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
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Dec 30, 2018
Python
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
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Nov 21, 2019
Python
PyTorch Implementation of Stacked U-Nets (SUNets)
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Nov 27, 2018
Python
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Updated
Sep 18, 2020
Jupyter Notebook
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
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Jul 25, 2019
Jupyter Notebook
How to create custom COCO data set for object detection
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Jun 15, 2020
Jupyter Notebook
Updated
Oct 9, 2018
Python
WIDER FACE annotations converted to the Pascal VOC XML format
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Sep 9, 2020
Python
GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
Updated
Nov 15, 2017
Python
Focal Loss for Dense Object Detection.
Updated
Sep 6, 2020
Jupyter Notebook
Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
Updated
Sep 15, 2018
Python
This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.
Updated
May 4, 2020
Jupyter Notebook
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I found a new tool makesense who is trying to do the same thing that you're already doing. Probably with some new thoughts in mind. I recently asked the author how that tool is doing differently: SkalskiP/make-sense#23
The author responded that we need multiple clicks while labeling in imglab. Though I didn't understand it well as I can control most of the things with