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Get Started

  • Introduction
  • Installation
  • CLI Guide
  • API Quick-Guide

Tutorials

  • Base Tutorials
    • Training to deployment tutorials
      • Classification model
      • Object Detection model
      • Instance Segmentation model
      • Semantic Segmentation model
    • XAI Tutorial
    • Deploy & Demo
  • Advanced Tutorials
    • How to write OTX Configuration (recipe)
    • Multi-GPU Support
    • LoRA: Low Rank Adaptation for Classification Tasks
    • [BETA] Enable torch.compile

Explanation

  • Algorithms
    • Classification
      • Multi-class Classification
      • Multi-label Classification
      • Hierarchical Classification
    • Object Detection
      • Object Detection
    • Segmentation
      • Semantic Segmentation
      • Instance Segmentation
    • Anomaly Detection
  • Additional Features
    • Models Optimization
    • Auto-configuration
    • Adaptive Training
    • Explainable AI (XAI)
    • Fast Data Loading
    • Improve Small Object Detection with Image Tiling
    • Class-Incremental Sampler
    • Configurable Input Size
  • Product Design

Reference

  • API reference
    • otx
      • otx.algo
        • otx.algo.accelerators
        • otx.algo.callbacks
          • otx.algo.callbacks.adaptive_early_stopping
          • otx.algo.callbacks.adaptive_train_scheduling
          • otx.algo.callbacks.gpu_mem_monitor
          • otx.algo.callbacks.iteration_timer
        • otx.algo.strategies
        • otx.algo.anomaly
        • otx.algo.classification
          • otx.algo.classification.backbones
          • otx.algo.classification.multiclass_models
          • otx.algo.classification.multilabel_models
          • otx.algo.classification.hlabel_models
          • otx.algo.classification.heads
          • otx.algo.classification.losses
        • otx.algo.detection
          • otx.algo.detection.backbones
          • otx.algo.detection.heads
          • otx.algo.detection.losses
        • otx.algo.modules
        • otx.algo.samplers
        • otx.algo.segmentation
          • otx.algo.segmentation.backbones
          • otx.algo.segmentation.heads
          • otx.algo.segmentation.losses
          • otx.algo.segmentation.segmentors
        • otx.algo.utils
          • otx.algo.utils.support_otx_v1
          • otx.algo.utils.utils
          • otx.algo.utils.weight_init
          • otx.algo.utils.xai_utils
      • otx.cli
        • otx.cli.cli
        • otx.cli.utils
          • otx.cli.utils.help_formatter
          • otx.cli.utils.jsonargparse
          • otx.cli.utils.workspace
      • otx.core
        • otx.core.config
          • otx.core.config.data
          • otx.core.config.device
          • otx.core.config.explain
        • otx.core.data
        • otx.core.exporter
          • otx.core.exporter.anomaly
          • otx.core.exporter.base
          • otx.core.exporter.exportable_code
            • otx.core.exporter.exportable_code.demo
          • otx.core.exporter.native
        • otx.core.metrics
        • otx.core.model
          • otx.core.model.anomaly
          • otx.core.model.base
          • otx.core.model.detection
          • otx.core.model.hlabel_classification
          • otx.core.model.instance_segmentation
          • otx.core.model.keypoint_detection
          • otx.core.model.multiclass_classification
          • otx.core.model.multilabel_classification
          • otx.core.model.segmentation
        • otx.core.optimizer
        • otx.core.schedulers
        • otx.core.types
        • otx.core.utils
          • otx.core.utils.build
          • otx.core.utils.cache
          • otx.core.utils.imports
          • otx.core.utils.instantiators
          • otx.core.utils.mask_util
          • otx.core.utils.miscellaneous
          • otx.core.utils.pylogger
          • otx.core.utils.tile_merge
          • otx.core.utils.utils
      • otx.data
      • otx.engine
      • otx.recipe
      • otx.tools
        • otx.tools.converter
        • otx.tools.templates
      • otx.utils

Release Notes

  • Releases

otx.algo.detection#

Custom model implementations for detection task.

Modules

otx.algo.detection.backbones

Custom backbone implementations for detection task.

otx.algo.detection.heads

Custom head implementations for detection task.

otx.algo.detection.losses

Custom OTX Losses for Object Detection.

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otx.algo.classification.losses

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otx.algo.detection.backbones
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