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Get Started

  • Introduction
  • Quick Start Guide
    • Installation
    • Usage
    • Examples

Level Up

  • Basic Skills
    • Level 1: Project Manipulation
    • Level 2: Dataset download
    • Level 3: Data Import and Export
    • Level 4: Detect Data Format from an Unknown Dataset
  • Intermediate Skills
    • Level 5: Data Subset Aggregation
    • Level 6: Data Comparison with Two Heterogeneous Datasets
    • Level 7: Merge Two Heterogeneous Datasets
    • Level 8: Dataset Validation
    • Level 9: Dataset Filtering
    • Level 10: Dataset Explorartion from a Query Image/Text
    • Level 11: Data Generation
  • Advanced Skills
    • Level 12: Project Versioning
    • Level 13: Pseudo Label Generation
    • Level 14: Dataset Pruning

Data Formats

  • Supported Data Formats
    • ADE20k (v2017)
    • ADE20k (v2020)
    • Align CelebA
    • Arrow
    • AVA Action
    • BraTS
    • BraTS Numpy
    • CelebA
    • CIFAR
    • Cityscapes
    • COCO
    • Common Semantic Segmentation
    • Common Super Resolution
    • CVAT
    • DatumaroBinary
    • Datumaro
    • ICDAR
    • Image zip
    • ImageNet
    • Kinetics
    • KITTI
    • Velodyne Points / KITTI Raw 3D
    • LabelMe
    • LFW
    • Mapillary Vistas
    • Market-1501
    • MARS
    • MNIST
    • Multiple Object Tracking (MOT)
    • Multiple Object Tracking and Segmentation (MOTS)
    • MPII Human Pose JSON
    • MPII Human Pose
    • MVTec AD
    • NYU Depth Dataset V2
    • Open Images
    • Pascal VOC
    • Roboflow
    • Segment Anything
    • Supervisely Point Cloud
    • SYNTHIA
    • Tabular
    • Vgg Face2 CSV
    • Video
    • VoTT CSV
    • VoTT JSON
    • WIDER Face
    • YOLO
    • YOLO-Ultralytics
  • Supported Media Formats
  • Datumaro Format

Hands-on Examples

  • Dataset I/O
    • Import and Export Public Data
    • Import and Export Public Semantic Segmentation Data
    • Encrypt Your Dataset
  • Manipulate
    • Merge Multiple Datasets for Classification Tasks
    • Merge Heterogeneous Datasets for Detection
  • Explore
    • Visualize Your Data
    • Find Most Similar Data from Image or Text Queries
  • Refine
    • Validate Dataset To Detect Anomalies
    • Correct Dataset from Validation Report
    • Filter Data through Your Query
    • Prune Dataset to extract representative subset
  • Transform
    • Transform Dataset: Re-id, Reindexing, Remapping, etc.
    • Tile your Dataset to Cope with High-Resolution Images
    • Transform bounding box to instance mask annotations using Segment Anything Model
  • From Datumaro to Model Training
    • Train Your OpenVINO™ Model Using YoloV8 Trainer For Any Dataset Format
    • Noisy label detection for classification tasks from training loss dynamics statistics
    • Noisy label detection for detection tasks from training loss dynamics statistics
    • Missing Annotation Detection

Command Line Reference

  • Overview
  • Context-free Commands
    • Compare
    • Convert
    • Detect
    • Info
    • Download
    • Explain
    • Explore
    • Filter
    • Generate
    • Merge
    • Patch
    • Prune
    • Stats
    • Transform
    • Validate
  • Context Commands
    • Checkout
    • Commit
    • Create
    • Export
    • Log
    • Model (context)
    • Project (context)
    • Source (context)
    • Status
    • Util

API Reference

  • Datumaro Module
    • datumaro
      • datumaro.cli
        • datumaro.cli.commands
        • datumaro.cli.contexts
        • datumaro.cli.util
      • datumaro.components
        • datumaro.components.abstracts
        • datumaro.components.algorithms
        • datumaro.components.annotation
        • datumaro.components.annotations
        • datumaro.components.cli_plugin
        • datumaro.components.comparator
        • datumaro.components.config
        • datumaro.components.config_model
        • datumaro.components.contexts
        • datumaro.components.crypter
        • datumaro.components.dataset
        • datumaro.components.dataset_base
        • datumaro.components.dataset_item_storage
        • datumaro.components.dataset_storage
        • datumaro.components.environment
        • datumaro.components.errors
        • datumaro.components.exporter
        • datumaro.components.extractor_tfds
        • datumaro.components.filter
        • datumaro.components.format_detection
        • datumaro.components.generator
        • datumaro.components.hl_ops
        • datumaro.components.importer
        • datumaro.components.launcher
        • datumaro.components.lazy_plugin
        • datumaro.components.media
        • datumaro.components.media_manager
        • datumaro.components.merge
        • datumaro.components.operations
        • datumaro.components.progress_reporting
        • datumaro.components.project
        • datumaro.components.shift_analyzer
        • datumaro.components.transformer
        • datumaro.components.validator
        • datumaro.components.visualizer
      • datumaro.errors
      • datumaro.ops
      • datumaro.plugins
        • datumaro.plugins.accuracy_checker_plugin
        • datumaro.plugins.configurable_validator
        • datumaro.plugins.data_formats
        • datumaro.plugins.explorer
        • datumaro.plugins.framework_converter
        • datumaro.plugins.inference_server_plugin
        • datumaro.plugins.missing_annotation_detection
        • datumaro.plugins.ndr
        • datumaro.plugins.openvino_plugin
        • datumaro.plugins.sam_transforms
        • datumaro.plugins.sampler
        • datumaro.plugins.specs
        • datumaro.plugins.splitter
        • datumaro.plugins.synthetic_data
        • datumaro.plugins.tiling
        • datumaro.plugins.transforms
        • datumaro.plugins.validators
      • datumaro.project
      • datumaro.rust_api
      • datumaro.util
        • datumaro.util.annotation_util
        • datumaro.util.attrs_util
        • datumaro.util.definitions
        • datumaro.util.file_utils
        • datumaro.util.image
        • datumaro.util.image_cache
        • datumaro.util.log_utils
        • datumaro.util.mask_tools
        • datumaro.util.meta_file_util
        • datumaro.util.multi_procs_util
        • datumaro.util.os_util
        • datumaro.util.pickle_util
        • datumaro.util.samples
        • datumaro.util.scope
        • datumaro.util.telemetry_stub
        • datumaro.util.telemetry_utils
        • datumaro.util.tf_util
      • datumaro.version
  • Supported Plugins

Explanation

  • Concepts
  • Architecture
  • Command-Line Workflow
  • Plugins
    • OpenVINO™ Inference Interpreter

Misc

  • How to use Datumaro
  • Model Preparation
  • Extending
  • How to control telemetry data collection

Release Notes

  • Release Notes

datumaro.util.file_utils#

Functions

to_bytes(size)

datumaro.util.file_utils.to_bytes(size: Union[str, int]) → int[source]#

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