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LVIS Challenge 2019

Facebook has just introduced a great dataset and corresponding machine learning challenge at same time. The dataset is named LVIS (Large Vocabulary Instance Segmentation). This is a great visual instance dataset. The challenge: https://www.lvisdataset.org/challenge Today, rigorous evaluation of general purpose object detectors is mostly performed in the few category regime (e.g. 80) or when there … Lanjutkan membaca LVIS Challenge 2019

Making Indonesia 4.0

Kumpulan artikel-artikel tentang “Making Indonesia 4.0”. Dokumen Resmi Making Indonesia 4.0 Making Indonesia 4.0 ( Dokumen Peluncuran Resmi ) (87 halaman) (https://www.scribd.com/document/397793605/Making-Indonesia-President-Sign-Document-Bahasa-Final) Making Indonesia 4.0 (Brief, 8 halaman) http://www.kemenperin.go.id/download/18384 Making Indonesia 4.0 (Presentasi Menteri 2018, 21 halaman) (http://kemenperin.go.id/download/18427) Making Indonesia 4.0 (Seminar Nasional Standardisasi Badan Standardisasi Nasional BSN) (http://bsn.go.id/uploads/download/making_indonesia_4.0_-_kementerian_perindustrian.pdf) Making Indonesia 4.0 (Seminar Ditjen ILMATE … Lanjutkan membaca Making Indonesia 4.0

Machine Learning and Data Science Competition 2019

Kaggle: https://www.kaggle.com/ Driven Data: https://www.drivendata.org/competitions/ Crowdanalytix: https://www.crowdanalytix.com/community Coda Lab : https://competitions.codalab.org/ DataScienceChallenge https://www.datasciencechallenge.org/ , but it has shown no activity for long time CrowdAI: https://www.crowdai.org/challenges Analytics Vidhya https://datahack.analyticsvidhya.com/ TopCoder: https://www.topcoder.com/challenges, mostly competitive programming challenges, but several data science challenges are available

Object Detection State of The Art Progress

List of object detection progress: R-CNN Overfeat Multibox SPP-Net MR-CNN DeepBox AttentionNet Fast R-CNN Deep[Proposal Faster R-CNN OHEM YOLO v1 G-CNN AZNet Inside-OutsideNet (ION) Hypernet CRAFT MultiPathNet (MPN) SSD GBDNet CPF MS-CNN R-FCN PVANET DeepID NoC DSSD TDM YOLO v2 Feature Pyramid (FPN) RON DCN DeNet CoupleNet RetinaNet DSOD Mask R-CNN SMN YOLO v3 SIN … Lanjutkan membaca Object Detection State of The Art Progress

Siaran Pers Bersama Terkait Bencana Selat Sunda

Berikut ini siaran pers bersama, yang nampaknya pengumuman resmi paling lengkap sejauh ini tentang bencana tsunami di Selat Sunda. Siaran Pers Bersama dari lembaga-lembaga berikut: Badan Informasi Geospasial (BIG) (https://twitter.com/InfoGeospasial) Kementrian Koordinator Bidang Kemaritiman (https://twitter.com/kemaritiman) Badan Pengkajian & Penerapan Teknologi (BPPT) (https://twitter.com/BPPT_RI) BMKG (https://twitter.com/infoBMKG) Lembaga Ilmu Pengetahuan Indonesia (LIPI) (https://twitter.com/lipiindonesia) Badan Geologi Sumber data ini … Lanjutkan membaca Siaran Pers Bersama Terkait Bencana Selat Sunda

Simple Image Classification with Keras

Keras logo There are several kind of image classification: Binary classification Multiclass classification Multi label classification Image generation method for training image.ImageGenerator.flow_from_directory() image.ImageGenerator.flow() Various models for training (built on model) Xception VGG16 VGG19 Resnet50 InceptionV3 InceptionResNetV2 MobileNet DenseNet  NASNet MobileNetV2 Keras built in models usually have pre-trained weight on Imagenet, which significantly speeds up training, … Lanjutkan membaca Simple Image Classification with Keras

Simple Multiclass Image Classification with Keras

This tutorial shows how to do multiclass image classification with Keras, using keras.preprocessing.image.flow_from_directory() to feed the image files for training and prediction. Plant Seedlings Classification dataset   Prepare Directory Structure download dataset from  https://www.kaggle.com/c/plant-seedlings-classification/data put original training files in <root>/data/train put original test files in <root>/data/test/0 . Caution: test files must be put into a … Lanjutkan membaca Simple Multiclass Image Classification with Keras