aiformankind / lets-stop-wildfires-hackathon

Related projects: ⓘ

• aiformankind / wildfire-smoke-detection-camera
  Quickstart to Build Your Own Wildfire Smoke Detector
  ☆18Updated 4 years ago
• acl21 / image_bbox_slicer
  This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code…
  ☆76Updated 2 years ago
• qubvel / awesome-satellite-imagery-competitions
  List of machine learning competitions for satellite imagery and remote sensing.
  ☆9Updated 6 years ago
• kapil-varshney / esri_retinanet
  ☆28Updated 5 years ago
• daveluo / coconuts
  Dev notebooks to train coconut tree detector
  ☆17Updated 6 years ago
• priya-dwivedi / aerial_pedestrian_detection
  ☆107Updated 5 years ago
• mnpinto / banet
  A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
  ☆39Updated last year
• inkyusa / weedNet
  weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming
  ☆52Updated 5 years ago
• aiformankind / wildfire-dataset
  Open Wildfire Smoke/Flame Datasets
  ☆25Updated 4 years ago
• cvjena / eu-flood-dataset
  Dataset with images from the central European flood 2013 for usage in the context of context-based image retrieval.
  ☆39Updated 3 years ago
• tchambon / DeepSentinel
  Deep learning pretrained model on satellite imagery (Sentinel-2)
  ☆77Updated 5 years ago
• kunwar31 / ESRI_Object_Detection
  Winning solution for ESRI Data Science Challenge 2019 - Hacker Earth
  ☆26Updated 4 years ago
• annieyan / PreprocessSatelliteImagery-ObjectDetection
  Satellite Imagery preprocessing for object detection
  ☆13Updated 6 years ago
• fMoW / first_place_solution
  ☆45Updated 6 years ago
• PUTvision / UAVVaste
  UAVVaste: COCO-like dataset and effective waste detection in aerial images
  ☆51Updated 10 months ago
• AlexOlsen / DeepWeeds
  A Multiclass Weed Species Image Dataset for Deep Learning
  ☆198Updated 3 years ago
• gabrielgarza / Mask_RCNN
  Matterport's Mask R-CNN library (Added Ship Detection sample) for object detection and instance segmentation on Keras and TensorFlow
  ☆98Updated 5 years ago
• ctu-geoforall-lab / i.ann.maskrcnn
  Mask R-CNN in GRASS GIS
  ☆40Updated 3 years ago
• jekhor / aerial-cars-dataset
  Dataset for car detection on aerial photos applications
  ☆64Updated 6 years ago
• osin-vladimir / kaggle-satellite-imagery-feature-detection
  Satellite Imagery Feature Detection (68 out of 419)
  ☆31Updated 6 months ago
• spaceml-org / Self-Supervised-Learner
  Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.
  ☆111Updated last year
• yueureka / WildFireDetection
  Using U-Net Model to Detect Wildfire from Satellite Imagery
  ☆70Updated 6 months ago
• CosmiQ / VDSR4Geo
  TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks" adapted for working with geospatial…
  ☆31Updated 5 years ago
• cwfid / dataset
  Crop/Weed Field Image Dataset
  ☆132Updated 9 years ago
• drivendataorg / cloud-cover-runtime
  Code execution runtime for the Cloud Cover competition
  ☆11Updated 2 years ago
• smhassanerfani / atlantis
  A Benchmark for Semantic Segmentation of Waterbody Images
  ☆35Updated last year
• R-Stefano / Remote-Sensing-Analysis
  Implementing a remote sensing object detector using Tensorflow object detection API
  ☆21Updated 5 years ago
• azavea / open-cities-ai-challenge-benchmark-model
  Benchmark model for DrivenData Open Cities AI Challenge
  ☆23Updated 4 years ago
• JordanMakesMaps / Fast-Multilevel-Superpixel-Segmentation
  Allows users to convert sparse point annotations into dense annotations both quickly and automatically.
  ☆12Updated 2 years ago
• drivendataorg / open-cities-ai-challenge
  Winners of the Open Cities AI Challenge competition
  ☆118Updated 11 months ago