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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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Updated
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
Mar 7, 2022 - Python
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
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Updated
Apr 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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Updated
Mar 11, 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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Updated
Sep 28, 2021 - Python
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
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Updated
Dec 7, 2020 - Python
Chainer implementation of Pose Proposal Networks
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Updated
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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Updated
Sep 15, 2021 - Jupyter Notebook
a subset of coco dataset for faster experimentation
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Apr 6, 2022 - Python
Convert segmentation RGB mask images to COCO JSON format
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Updated
Aug 13, 2021 - Jupyter Notebook
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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Updated
Mar 11, 2022 - Python
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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Updated
Mar 30, 2022 - Python
Robbie-Palmer
commented
Mar 15, 2022
📓 Documentation Update
Clicking on the Contributing Guide link from the side-bar on https://airctic.github.io/icedata/ directs to https://airctic.github.io/icedata/readme.md
The body of the page displays a 404 - Not found error
documentation
Improvements or additions to documentation
enhancement
New feature or request
good first issue
Good for newcomers
Automatic 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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Updated
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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Updated
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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Updated
Dec 30, 2018 - Julia
How to train an instance segmentation model with mmdetection
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Updated
Oct 13, 2019 - Jupyter Notebook
Adds color to black and white images.
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Updated
Mar 11, 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
Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.
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Updated
Mar 10, 2022 - Python
Computer Vision: Generate captions that describe the contents of images using PyTorch
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Jul 18, 2021 - Jupyter Notebook
challenge
deep-learning
encoder
decoder
efficiency
pytorch
transformer
image-captioning
resnet
fine-tuning
codalab
coco-dataset
gpt2
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Updated
Apr 6, 2022 - Python
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"Multi-task training to efficiently combine object detection, segmentation, and classification models" is a feature of icevision. However, I don't know how to use icevision to do multi-task learning like object detection and classication. I just need a simple example without details.
Don't remove
Main issue for examples: #39