Tensorflow Faster RCNN for Object Detection
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Updated
Oct 26, 2019 - Python
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Tensorflow Faster RCNN for Object Detection
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Reimplementation of DeepLabV3
various tools such as label-tools , data-augmentation , etc.
TicTacToe Python app for Android, powered by BeeWare suite - https://pybee.org
yolov3 by pytorch
prepare dataset for voc https://github.com/ultralytics/yolov3
This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.
FCOS: Fully Convolutional One-Stage Object Detection.
An efficient tool for objection detection annotation
Training examples and results for ImageNet/CIFAR/COCO/VOC training.Image Classification/Object Detection.
Template for starting a native Android app using Python and the BeeWare tools
A useful script for converting voc format annotations(generated by LabelImg or Labelme) to coco format annotations
Drawing App for Android written in Python, powered by BeeWare suite - https://pybee.org
Todo App for Android written in Python, powered by BeeWare - https://pybee.org
MobileNet-SSD, MobileNetV2-SSD/SSDLite on VOC, BDD100K Datasets.
Standard RetinaNet implemented with Pure PyTorch (Work in progress)
Dataset of Canada goose images with annotations of bounding boxes with object classes, suitable for testing object detection algorithms.
This repository gives an implementation of object-detection algorithm,YOLO(v2 and v3) using VOC or COCO data
Add a description, image, and links to the voc topic page so that developers can more easily learn about it.
To associate your repository with the voc topic, visit your repo's landing page and select "manage topics."
Add proguard to shrink and obfuscate app code.
https://developer.android.com/studio/build/shrink-code.html