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amazon-sagemaker-object-detection-from-scratch

Build a Custom Object Detection Model from Scratch with Amazon SageMaker and Deploy it at the Edge with AWS DeepLens. This workshop explains how you can leverage DeepLens to capture data at the edge and build a training data set with Amazon SageMaker Ground Truth. Then, train an object detection model with Amazon SageMaker and deploy it to AWS DeepLens.

attention-ocr

Visual Attention based OCR

attention-ocr-1

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

awesome-computer-vision

A curated list of awesome computer vision resources

brain-tumors

cnn-number-detection

Number detection implemented using Tensorflow with custom CNN architecture for fast inference and custom Dataset

colorectal_histology_mnist

Classification of colorectal cancer histology into 8 classes

face_recognition

The world's simplest facial recognition api for Python and the command line

grid-counting-with-opencv--2d-mapping

Localization in closed area (non-GPS) using a cam. This project was made and realized for the International Aerial Robotics Competition ( IARC ). Designed for use on the drone.

histogram-equalization

Implement the Histogram Equalization from Ryan Allred Medium article: https://medium.com/@ryanallred/image-augmentation-for-deep-learning-using-keras-and-histogram-equalization-9329f6ae5085

image-segmentation

Realtime image segmentation web service (beta & on Heroku free dyno)

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

keras-zero-shot-detection

Keras implementation of zero-shot detection based on YOLOv3 model.

lung-segmentation

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

ocular-disease

Ocular Disease dataset is a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes.

pyimagesearch

Diving into PyImageSearch

pyimagesearch-cv-dl-crashcourse

Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning

pyimagesearch-python-machine-learning

Code for PyImageSearch tutorial on Python Machine Learning

pytesseract

A Python wrapper for Google Tesseract

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

retail-pattern-matching

Pattern Matching algorithm implemented using OpenCV-Python for real-time images in retail industry

retinanet-digit-detector

Implemented digit detector in natural scene. I used SVHN as the training set, and implemented it using keras-retinanet.

shape-detection

🟣 Object detection of abstract shapes with neural networks

tooth-detection

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

yolo-digit-detector

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.