ml-datasets🌊 Machine learning dataset loaders for testing and example scripts
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datasetdataset is a command line tool, Go package, shared library and Python package for working with JSON objects as collections
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datasets🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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parlitoolsA collection of useful tools for UK politics
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Dataset-Sentimen-Analisis-Bahasa-IndonesiaRepositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasi…
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newtNatural World Tasks
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ake-datasetsLarge, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.
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datasetsThe primary repository for all of the CORGIS Datasets
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spectrochempySpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
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json2python-modelsGenerate Python model classes (pydantic, attrs, dataclasses) based on JSON datasets with typing module support
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multi-task-defocus-deblurring-dual-pixel-nimatReference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …
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dw-jdbcJDBC driver for data.world
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DsrgWeakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
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Deeplab V2 Resnet 101 TensorflowAn (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
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SunetsPyTorch Implementation of Stacked U-Nets (SUNets)
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LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
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Voc2cocoHow to create custom COCO data set for object detection
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Make SenseFree to use online tool for labelling photos. https://makesense.ai
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Robust Detection BenchmarkCode, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
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Review object detection metricsReview on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
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Fcn GooglenetGoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
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Image bbox slicerThis easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.
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Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
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Deeplabv3plus PytorchDeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
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EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
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Vod ConverterConvert between visual object detection datasets
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GuidedLabellingExploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
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BMW-IntelOpenVINO-Detection-Inference-APIThis is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
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