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coco-dataset
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(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
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Aug 30, 2020 - Python
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
metrics
object-detection
bounding-boxes
pascal-voc
mean-average-precision
coco-dataset
precision-recall
average-precision
coco-api
pacal-voc-ap
pascal-metrics
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Updated
Feb 16, 2022 - Python
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
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Jan 9, 2022 - Python
Distribution-Aware Coordinate Representation for Human Pose Estimation
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Oct 12, 2021 - Cuda
Multi-person Human Pose Estimation with HRNet in Pytorch
machine-learning
computer-vision
deep-learning
pytorch
human-pose-estimation
coco-dataset
yolov3
keypoint-detection
hrnet
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Updated
Sep 20, 2021 - Python
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
deep-learning
pytorch
coco
human-pose-estimation
pretrained-models
pose-estimation
prm
mpii
stacked-hourglass-networks
keypoints-detector
hourglass-network
pytorch-implmention
coco-dataset
deeppose
chained-prediction
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Updated
Oct 20, 2021 - Python
Localize and identify multiple objects in a single image.
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Feb 9, 2022 - Python
How to create custom COCO data set for object detection
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Nov 25, 2021 - Jupyter Notebook
Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)
python
computer-vision
deep-learning
tensorflow
keras
segmentation
human-pose-estimation
pose
instance-segmentation
coco-dataset
personlab
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Apr 15, 2019 - Jupyter Notebook
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
deep-learning
voting
pytorch
object-detection
human-pose-estimation
hough-transform
kitti-dataset
video-object-detection
pose-estimation
hough
instance-segmentation
voting-classifier
hough-transformation
eccv
coco-dataset
3d-object-detection
bottom-up-model
video-object-tracking
eccv-2020
2d-pose-estimation
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Sep 28, 2021 - Python
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
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Dec 7, 2020 - Python
Chainer implementation of Pose Proposal Networks
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Dec 21, 2018 - Python
Multi-person Human Pose Estimation with HigherHRNet in Pytorch
deep-learning
pytorch
human-pose-estimation
mscoco-keypoint
coco-dataset
keypoint-detection
hrnet
higher-hrnet
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Updated
Apr 7, 2021 - Python
How to create custom COCO data set for instance segmentation
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Sep 15, 2021 - Jupyter Notebook
a subset of coco dataset for faster experimentation
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Oct 14, 2021 - Python
Convert VOC format XMLs to COCO format json
converter
json
machine-learning
tutorial
computer-vision
xml
annotations
dataset
object-detection
pascal-voc
computer-vision-tools
file-format-converter
coco-dataset
computer-vision-annotation
computer-vision-annotation-tool
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Updated
Feb 2, 2020 - Python
IBM Code Model Asset Exchange: Show and Tell Image Caption Generator
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Feb 9, 2022 - Python
Convert segmentation RGB mask images to COCO JSON format
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Aug 13, 2021 - Jupyter Notebook
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
python3
semantic-segmentation
pascal-voc
keras-tensorflow
camvid-dataset
ade20k
coco-dataset
cityscape-dataset
taco-dataset
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Feb 16, 2022 - Python
rbavery
commented
Nov 17, 2021
📓 Documentation Update
What part of documentation was unclear or wrong?
I think the docs for icedata are incorrect, base don the version that is installed when icevision is installed from master with the bash script installer.
When I try this from the main front page https://airctic.github.io/icedata/coco/:
# COCO parser: provided out-of-the-box
parser = icedata.coco.parAutomatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite
python
computer-vision
image-annotation
jupyter-notebook
anchor
tesseract-ocr
cmd
bounding-boxes
image-augmentation
anpr
google-colab
tensorflow-lite
coco-dataset
open-images-dataset
yolov4
yolov4-darknet
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Aug 7, 2020 - Jupyter Notebook
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
numpy
svm
pytorch
lstm
dropout
gan
style-transfer
rnn
image-captioning
convolutional-neural-networks
network-visualization
knn
cifar10
saliency-map
batchnorm
softmax-classifier
cs231n-assignment
fooling-images
class-visualization
coco-dataset
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Sep 5, 2018 - Jupyter Notebook
Fast Neural Style Transfer in Julia
flux
machine-learning
deep-learning
julia
style-transfer
neural-style
fast-style-transfer
neural-style-transfer
coco-dataset
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Dec 30, 2018 - Julia
How to train an instance segmentation model with mmdetection
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Oct 13, 2019 - Jupyter Notebook
Adds color to black and white images.
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Feb 9, 2022 - Python
reinforcement-learning
deep-learning
pytorch
policy-gradient
image-captioning
image-to-text
cgan
coco-dataset
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Updated
Oct 22, 2019 - Python
Computer Vision: Generate captions that describe the contents of images using PyTorch
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Jul 18, 2021 - Jupyter Notebook
Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.
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Jan 13, 2022 - Python
Combining Google Open Images with COCO-dataset weights and training a Mask R-CNN model to accurately create a instance mask for pumpkins ;)
computer-vision
deep-learning
object-detection
instance-segmentation
mask-rcnn
custom-dataset
coco-dataset
open-images-2020
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Mar 28, 2021 - Jupyter Notebook
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Is this a request for a tutorial or for an example?
Either really.
What is the task?
Object detection
Is this example for a specific model?
Any detection model
Is this example for a specific dataset?
Any LightningDataModule that uses nvidia DALI. Maybe COCO?
I have a LightningDataModule that uses NVIDIA DALI. The train and val dataload