d-misra

ECCV-2020-Patch-based-CNN-for-bark-classification

Paper accepted at the ECCV 2020 Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2020)

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cocosplit

Simple tool to split COCO annotations into train/test datasets.

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

ensembleObjectDetection

Federated_object_detection

Federated Learning on object detection

few-shot-object-detection

Implementations of few-shot object detection benchmarks

Fewshot_Detection

Few-shot Object Detection via Feature Reweighting

Keras-FasterRCNN

keras implementation of Faster R-CNN

keras-frcnn

Keras Implementation of Faster R-CNN

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

MIScnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

mlhub-tutorials

Tutorials to access Radiant MLHub Training Datasets

MultiTemplateMatching-Python

Object-recognition using multiple templates in python

nlp-recipes

Natural Language Processing Best Practices & Examples

object-detection-detectron2

A series of notebooks to dive deep into popular datasets for object detection and learn how to train Detectron2 on a custom dataset

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

satsr

A project to perform super-resolution on multispectral images from any satellite

snorkel

A system for quickly generating training data with weak supervision

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

voc2coco

How to create custom COCO data set for object detection

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite