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adaptive_affinity_fields

Adaptive Affinity Fields for Semantic Segmentation

agopengps

Ag Precision Mapping and Section Control software

albumentations

fast image augmentation library and easy to use wrapper around other libraries

arduino

arduino scripts for MySensors IoT

augmentor

Image augmentation library in Python for machine learning.

augmentor.jl

A fast image augmentation library in Julia for machine learning.

awesome-agriculture

Open source technology for agriculture, farming, and gardening

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

aws-shell

An integrated shell for working with the AWS CLI.

basiss

Broad Area Satellite Imagery Semantic Segmentation

cameracalibration

carnd-semantic-segmentation

clodsa

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

dataset

Crop/Weed Field Image Dataset

dataset-processing

Tools to process the Weed removing robot dataset

de_kfe

Key Frame Extraction using Differential Evolution

deep_learning_for_biologists_with_keras

tutorials made for biologists to learn deep learning

deepmask

Torch implementation of DeepMask and SharpMask

deepplantphenomics

Deep learning for plant phenotyping.

deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

delta-robot

Hobby scale for teaching basic robot concepts

delta-robot-project

Open Source Delta Robot pick & place Machine GUI with image processing

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dextr-kerastensorflow

Deep Extreme Cut

docker-elk-ecs

The ELK stack powered by Docker and Compose.

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

ethersense

Ethernet client and server for RealSense

fieldimager

FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.