New and updated ArcGIS AI models are described below along with links for additional information.
July 2026 release
New models
- Clay
Wavelength-aware deep learning model to generate semantic geospatial embeddings from multisensor satellite imagery and enable efficient fine-tuning for downstream applications.
- DINOv3
Deep learning model to generate semantic geospatial embeddings from RGB satellite imagery.
- Geospatial Vision Language Model (GeoVLM)
Esri's first vision-language model for high-resolution RGB Earth observation imagery. This model will be available shortly as a private beta through Esri's Early Adopter Community. Please sign up here to request access to the model.
- USA Geodemographic Embeddings
Esri's USA Geodemographic Embeddings 2026 include compact embeddings representing geodemographic and environmental characteristics across the United States. Use them to enrich models, find similar locations, and power geospatial AI workflows. (Beta)
June 2026 release
New models
- DINOv2
Generate semantic geospatial embeddings from RGB satellite imagery.
- DistilGPT2 Based Imputation
Impute missing numerical values in datasets using row-wise next token predictions.
- DOFA (Large)
Wavelength-aware deep learning model to generate semantic geospatial embeddings from multisensor satellite imagery.
- Global Location Encoder (Sentinel-2)
A representation learning model that maps geographic coordinates to meaningful vector embeddings based on Sentinel-2 Level-2.
- HF Text Feature Extraction
Deep learning package for generating text embeddings using Hugging Face sentence-transformers models.
- Prithvi EO 2.0 300M
Deep learning model to generate semantic geospatial embeddings from multispectral satellite imagery and enable efficient fine-tuning for downstream applications.
- Prithvi EO 2.0 600M
Deep learning model to generate semantic geospatial embeddings from multispectral satellite imagery and enable efficient fine-tuning for downstream applications.
- Sen2SR Sentinel-2 Super-resolution
Deep learning model to enhance the spatial resolution of Sentinel-2 imagery.
- TerraMind (Base)
Deep learning model to generate semantic geospatial embeddings from multispectral satellite imagery.
- XGBoost Based Imputation
Deep learning package using XGBoost for predictive imputation of missing numeric values in datasets.
September 2025 release
New models
- HF Entity Recognition
Extract entities from text.
- HF Text Classification
Classify text.
- HF Text Question Answering
Perform question answering on a provided context text.
- HF Text Summarization
Summarize text.
- HF Text Translation
Translate text.
- HF Zero Shot Text Classification
Classify text into user-defined categories without requiring model retraining.
June 2025 release
New models
- HF Image Inpainting
Inpaint masked areas using pretrained image inpainting models.
- Prithvi Weather and Climate
Forecast weather and climate related phenomenon using MERRA-2 multidimensional dataset.
- Table Extraction
Extract tables from scanned images or PDFs.
- Time-MoE
Forecast timeseries values of a space-time cube dataset using a pretrained model.
Updated models
- Clip Zero-Shot Classifier
Added transformers version fix.
- Damage Assessment (Drone Imagery)
Added multilabel Support.
Updated documentation
- Using Clip Zero-Shot Classifier
Recommendation regarding fishnet grid generation for full image processing updated.
- Introduction to Damage Assessment (Drone Imagery)
Model overview and recommendation regarding fishnet grid generation for full image processing updated.
- Using Damage Assessment (Drone Imagery)
Steps for using the model updated.
- Finetuning the High Resolution Land Cover Classification - USA
Lama based model inference is supported only on GPUs.
- Using Image Interrogation
Lama based model inference is supported only on GPUs.
- Finetuning the Prithvi - Burn Scars Segmentation
Steps to fine tune the model updated.
- Finetuning the Prithvi - Crop Classification
Steps to fine tune the model updated.
- Finetuning the Prithvi - Flood Segmentation
Steps to fine tune the model updated.
- Using Prithvi - Burn Scars Segmentation
Recommended to choose GPU to achieve optimal performance.
- Using Prithvi - Crop Classification
Recommended to choose GPU to achieve optimal performance.
- Using Prithvi - Flood Segmentation
Recommended to choose GPU to achieve optimal performance.
- Using Vision Language Context-Based Classification
Lama based model inference is supported only on GPUs.
March 2025 release
New model
- Image Interrogation
Query images using prompts.
Updated models
- Ship Detection (RGB)
Released version 2 of the model.
- Vision Language Context-Based Classification
Released version 2 of the model.
Updated documentation
- Fine-tuning
the Building Point Classification
Steps to fine-tune the Building Point Classification pretrained model.
- Using Parking Lot Classification - USA
Updated links.
- Fine-tuning the Power Line Classification
Steps to fine-tune the Power Line Classification pretrained model.
- Introduction to Ship Detection (RGB)
Updated with new information about the version 2 model.
- Fine-tuning the Tree Point Classification
Steps to fine-tune the Tree Point Classification pretrained model.
- Introduction to Vision Language Context-Based Classification
Updated with new information about the version 2 model.
- Using Vision Language Context-Based Classification
Updated information about using Llama vision models.
February 2025 release
New models
- HF Object Classification
Classify objects using Hugging Face object classification models.
- HF Object Detection
Detect objects using Hugging Face object detection models.
- HF Pixel Classification
Classify pixels using Hugging Face image segmentation models.
- HF Visual Question Answering
Generate answers to open-ended questions, based on an image, using Hugging Face Visual Question Answering models.
- HF Zero Shot Object Classification
Classify objects using Hugging Face zero-shot classification models.
Updated documentation
- Updated Fine-tuning steps for all models.
- Updated license information format for all models.
December 2024 release
New models
- Edge Detection
Detect prominent edges present in an image.
- High Resolution Canopy Height Estimation
Estimate tree canopy height in high-resolution satellite imagery.
- Map Simplification
Simplifies scanned images to assist with digitization workflows.
- Pedestrian Infrastructure Classification
Classify crosswalks, sidewalks, and roads from high resolution RGB imagery.
- Prompt Based Segmentation
Segment objects using prompts from 8-bit RGB imagery.
- Vision Language Context-Based Classification
Classify objects using OpenAI's vision language models from 8-bit RGB imagery.
Updated documentation
- Using Water Body Extraction (SAR) - USA
Updated steps for model application.
October 2024 release
New models
- Building Change Detection
Detect change in buildings in drone or aerial imagery.
- Damage Assessment (Drone Imagery)
Perform damage assessment on drone and aerial imagery.
- Depth Anything
Estimate relative and metric depth in street-level imagery.
Updated documentation
- Using Building Footprint Extraction - Africa
Updated steps for model application using the Extract Feature tool.
- Using building footprint - Australia
Updated steps for model application using the Extract Feature tool.
- Using building footprint - China
Updated steps for model application using the Extract Feature tool.
- Using building footprint - USA
Updated steps for model application using the Extract Feature tool.
- Using GroundingDINO
Updated TTA parameter.
- Using Text SAM
Updated TTA parameter.
Updated ArcGIS Online license requirements information for all the existing pretrained models.
August 2024 release
New models
- GroundingDINO
Detect objects using text prompts.
- Wildfire And Smoke Classification
Classify wildfire and smoke in drone imagery.
Updated model
- Road Extraction - Global
Updated Version 2 of the model. The previous version is now deprecated.
Updated documentation
- Oil Spill Detection (SAR)
Data preparation steps updated.
- Road Extraction - North America
Data preparation steps updated.
June 2024 release
New models
- Building Point Classification
Classify point cloud into building or background.
- Clip Zero-Shot Classifier
Classify oriented imagery.
- Wildfire Delineation
Delineate wildfires using Sentinel-2 imagery.
Updated documentation
- Common Object Detection
Model access and download detail updated.
- Face Blurring
From ArcGIS Pro version 3.3 onward, this model will run on CPU, with GPU support discontinued.
- Fine-tuning the Ship Detection (RGB)
Steps to fine-tune the Ship Detection (RGB) model.
- License Plate Blurring
From ArcGIS Pro version 3.3 onward, this model will run on CPU, with GPU support discontinued.
- Mangrove classification (Landsat 8)
Data preparation step updated.
- Named Entity Recognition
Model details updated.
- Power Line Classification
Model details updated.
- Road Extraction - Global
From ArcGIS Pro version 3.3 onward, this model will run on CPU, with GPU support discontinued.
- Tree Point Classification
Model details updated.
May 2024 release
Updated documentation
- Fine-tuning the Arctic Seal Detection
Steps to fine-tune the Arctic Seal Detection pretrained model.
- Fine-tuning the Cloud Mask Generation (Sentinel-2)
Steps to fine-tune the Cloud Mask Generation (Sentinel-2) pretrained model.
- Using Ship Detection (SAR)
New steps utilizing the manifest.safe file as the input raster for inference.
- Using Water Body Extraction (SAR) - USA
New steps utilizing the manifest.safe file as the input raster for inference.
April 2024 release
Updated documentation
- Fine-tuning Address Standardization
Steps to fine-tune the Address Standardization pretrained model.
- Fine-tuning Agricultural Field Delineation
Steps to fine-tune the Agricultural Field Delineation pretrained model.
- Fine-tuning Building Footprint Extraction - Australia
Steps to fine-tune the Building Footprint Extraction - Australia pretrained model.
- Fine-tuning Building Footprint Extraction - China
Steps to fine-tune the Building Footprint Extraction - China pretrained model.
- Fine-tuning Cooling Tower Detection - USA
Steps to fine-tune Cooling Tower Detection - USA pretrained model.
- Fine-tuning Country Classification
Steps to fine-tune the Country Classification pretrained model.
- Fine-tuning Elephant Detection
Steps to fine-tune the Elephant Detection pretrained model.
- Fine-tuning Human Detection (Drone Imagery)
Steps to fine-tune the Human Detection (Drone Imagery) pretrained model.
- Fine-tuning Human Settlements Classification (Landsat 8)
Steps to fine-tune the Human Settlements Classification (Landsat 8) pretrained model.
- Fine-tuning Human Settlements Classification (Sentinel-2)
Steps to fine-tune the Human Settlements Classification (Sentinel-2) pretrained model.
- Fine-tuning Insulator Defect Detection
Steps to fine-tune the Insulator Defect Detection pretrained model.
- Fine-tuning Mangrove Clasification (Landsat 8)
Steps to fine-tune the Mangrove Clasification (Landsat 8) pretrained model.
- Fine-tuning Oil Spill Detection (SAR)
Steps to fine-tune the Oil Spill Detection (SAR) pretrained model.
- Fine-tuning Oil Tank Detection
Steps to fine-tune the Oil Tank Detection pretrained model.
- Fine-tuning Palm Tree Detection
Steps to fine-tune the Palm Tree Detection pretrained model.
- Fine-tuning Parcel Extraction - USA
Steps to fine-tune the Parcel Extraction - USA pretrained model.
- Fine-tuning Parking Lot Classification
Steps to fine-tune the Parking Lot Classification - USA pretrained model.
- Fine-tuning Parking Spot Detection - USA
Steps to fine-tune the Parking Spot Detection - USA pretrained model.
- Fine-tuning Plant Leaf Disease Classification
Steps to fine-tune the Plant Leaf Disease Classification pretrained model.
- Fine-tuning Prithvi - Crop Classification
Steps to fine-tune the Prithvi - Crop Classification pretrained model.
- Fine-tuning Prithvi - Flood Segmentation
Steps to fine-tune the Prithvi - Flood Segmentation pretrained model.
- Fine-tuning Pylon Detection - USA
Steps to fine-tune the Pylon Detection - USA pretrained model.
- Fine-tuning Seabird (Tern) Detection - Africa
Steps to fine-tune the Seabird (Tern) Detection - Africa pretrained model.
- Fine-tuning Ship Detection (SAR)
Steps to fine-tune the Ship Detection (SAR) pretrained model.
- Fine-tuning Solar Panel Detection - USA
Steps to fine-tune the Solar Panel Detection - USA pretrained model.
- Fine-tuning Solar Photovoltaic Park Classification
Steps to fine-tune the Solar Photovoltaic Park Classification pretrained model.
- Fine-tuning Transmission H-Structure Detection
Steps to fine-tune the Transmission H-Structure Detection pretrained model.
- Fine-tuning Well Pad Detection - Permian Basin
Steps to fine-tune the Well Pad Detection - Permian Basin pretrained model.
- Fine-tuning Wind Turbine Detection
Steps to fine-tune the Wind Turbine Detection pretrained model.
March 2024 release
New model
- Text SAM
Detect objects in an image using a text prompt.
February 2024 release
Updated documentation
- Fine-tuning Building Footprint Extraction - Africa
Steps to fine-tune the Building Footprint Extraction - Africa pretrained model.
- Fine-tuning Building Footprint Extraction - USA
Steps to fine-tune the Building Footprint Extraction - USA pretrained model.
- Fine-tuning Car Detection - USA
Steps to fine-tune the Car Detection - USA pretrained model.
- Fine-tuning High Resolution Land Cover Classification - USA
Steps to fine-tune the High Resolution Land Cover Classification - USA pretrained model.
- Fine-tuning Land Cover Classification (Aerial Imagery)
Steps to fine-tune the Land Cover Classification (Aerial Imagery) pretrained model.
- Fine-tuning Land Cover Classification (Landsat 8)
Steps to fine-tune the Land Cover Classification (Landsat 8) pretrained model.
- Fine-tuning Land Cover Classification (Sentinel-2)
Steps to fine-tune the Land Cover Classification (Sentinel-2) pretrained model.
- Fine-tuning Pool Detection - USA
Steps to fine-tune the Pool Detection - USA pretrained model.
- Fine-tuning Prithvi - Burn Scars Segmentation
Steps to fine-tune the Prithvi - Burn Scars Segmentation pretrained model.
- Fine-tuning Road Extraction - North America
Steps to fine-tune the Road Extraction - North America pretrained model.
- Fine-tuning Waterbody Extraction (SAR) - USA
Steps to fine-tune the Waterbody Extraction (SAR) - USA pretrained model.
January 2024 release
New models
- Agricultural Field Delineation
Delineate agricultural fields using Sentinel-2 imagery.
- Prithvi - Burn Scars Segmentation
Classify burn scars in multispectral satellite imagery.
- Prithvi - Crop Classification
Classify crops in multispectral satellite imagery.
- Prithvi - Flood Segmentation
Classify flood inundated areas in multispectral satellite imagery.
Updated models
- Cloud Mask Generation
Radiometric offset correction parameter added.
- Human Settlements Classification (Sentinel-2)
Radiometric offset correction parameter added.
- Land Cover Classification (Sentinel-2)
Radiometric offset correction parameter added.
- Power Line Classification
Update includes enhancements in architecture, increased precision, and faster processing.
- Solar Photovoltaic Park Classification
Radiometric offset correction parameter added.
- Well Pad Detection - Permian Basin
Radiometric offset correction parameter added.
Updated documentation
- Cloud Mask Generation
Data preparation step updated.
- Human Settlements Classification (Sentinel-2)
Data preparation step updated.
- Land Cover Classification (Sentinel-2)
Data preparation step updated.
- Power Line Classification
Updated information about the utilization of a new architecture, and revised accuracy metrics.
- Solar Photovoltaic Park Classification
Data preparation step updated.
- Well Pad Detection - Permian Basin
Data preparation step updated.
November 2023 release
New models
- Cooling Tower Detection—USA
Detect cooling towers in high-resolution (4-15 centimeters) imagery.
- Oil Tank Detection
Detect oil tanks in high-resolution satellite imagery.
- Pylon Detection—USA
Detect pylons in high-resolution satellite imagery.
- Ship Detection (RGB)
Detect ships in high-resolution satellite imagery.
Updated models
- Building Footprint Extraction—Australia
SatToGraph issue fixed.
- Palm Tree Detection
Undefined class name issue fixed.
- Road Extraction—Global
Dlpk Issue fixed.
- Scene Text Parsing
Pro3.2 issue fixed.
Updated documentation
- Arctic Seal Detection
TTA (Test Time Augmentation) parameter details updated.
- Elephant Detection
TTA (Test Time Augmentation) parameter details updated.
- Insulator Defect Detection
TTA (Test Time Augmentation) parameter details updated.
- Pool Detection - USA
TTA (Test Time Augmentation) parameter details updated.
- Transmission H-Structure Detection
TTA (Test Time Augmentation) parameter details updated.
- Tree Detection
Training data information updated.
- Scene Text Parsing
PaddleOCR installation command updated.
- Wind Turbine Detection
TTA (Test Time Augmentation) parameter details updated.
July 2023 release
New model
- Insulator Defect Detection
Detect insulators and classify defects.
- Optical Character Recognition
Detect and recognize text from images.
- Parking Lot Classification—USA
Detect and classify pixels of parking areas from high-resolution aerial imagery.
- Pool Segmentation—USA
Detect and segment swimming pools in high-resolution aerial or satellite imagery.
- Transmission H-Structure Detection
Detect transmission H-Structure and its different parts.
- Tree Segmentation
Detect and segment trees in high-resolution imagery.
Updated model
- Common Object Detection
Detect common objects in context for mobile apps.
May 2023 release
New model
- Segment Anything Model (SAM)
Segment any objects in any imagery.
April 2023 release
New model
- Parking Spot Detection—USA
Detect parking spots from high resolution imagery.
Model Updates
- Building Footprint Extraction—Africa
Added support for use with extract features tool.
- Building Footprint Extraction—Australia
Added support for use with extract features tool.
- Building Footprint Extraction—USA
Added support for use with extract features tool.
- Scene Text Parsing
Now supported only with CPU.
February 2023 release
New model
- Common Object Detection
Detect common objects in photos that are captured with the mobile app ArcGIS Survey123.
Updated model
- Human Detection (Drone Imagery)
Detect human beings on drone imagery.
November 2022 release
New models
- Oil Spill Detection (SAR)
Extract oil spill from SAR imagery.
- Plant Leaf Disease Classification
Classify diseases in plant leaves.
September 2022 release
New models
- Building Footprint Extraction—China
Extract building footprints from high-resolution three-band imagery for China.
- Seabird (Tern) Detection—Africa
Detect seabirds (Tern) from high-resolution drone imagery.
- Land Cover Classification (Aerial Imagery)
Perform land-cover classification on very high-resolution imagery.
- Water Body Extraction (SAR)—USA
Extract water bodies from SAR imagery.
July 2022 release
New models
- Address Standardization
Transforms non-standard address to standard address.
- Cloud Mask Generation (Sentinel-2)
Detect and generate cloud mask from satellite imagery.
- Country Classification
Classify addresses into their respective countries.
May 2022 release
New models
- Elephant Detection
Detect elephants from high-resolution drone imagery.
- Named Entity Recognition
Identify entities from text.
- Solar Photovoltaic Park Classification
Detect solar photovoltaic parks from Sentinel-2 imagery.
- Tree Detection
Detect trees in high-resolution drone or aerial imagery.
March 2022 release
New models
- Arctic Seal Detection
Detect arctic seals from high-resolution drone imagery.
- Pavement Crack Detection
Detect pavement cracks and potholes in drone imagery.
- Scene Text Parsing
Recognize text from a variety of image formats and extract information in the form of text from images.
- Wind Turbine Detection
Detect wind turbines from high-resolution imagery.
Updated models
- Car Detection—USA
Added support for test time augmentation and regularization of results.
- High Resolution Land Cover Classification—USA
Added support for test time augmentation and classification of images in seven or nine classes.
- Human Settlements Classification (Landsat 8)
Added support for test time augmentation.
- Human Settlements Classification (Sentinel-2)
Added support for test time augmentation.
- Land Cover Classification (Landsat 8)
Added support for test time augmentation and bundled two different models to support classification on level-1 and level-2 images.
- Land Cover Classification (Sentinel-2)
Added support for test time augmentation and bundled four different models supporting classification of Sentinel-2 Level-2A and Sentinel-2 Level-1C into CLC level 1 and level 2 classes.
- License Plate Blurring
Added support for blurring faces in the images.
- Mangrove Classification (Landsat 8)
Added support for test time augmentation.
- Pool Detection—USA
Added support for test time augmentation.
January 2022 release
New models
- Building Footprint Extraction—Australia
Extract building footprints from high-resolution three-band imagery for Australia.
- High Resolution Land Cover Classification—USA
Perform land-cover classification on high-resolution imagery.
- Human Detection (Drone Imagery)
Detect human beings on drone imagery.
- Palm Tree Detection
Detect palm trees on high-resolution imagery.
- Road Extraction—Global
Extract roads from high-resolution (1 meter) aerial/satellite imagery.
Updated models
- Road Extraction—North America
Added support for test time augmentation and smooth blending of results.
- Land Cover Classification (Landsat 8)
Model is now compatible with Landsat 8 Collection 2 Level 2 images.
November 2021 release
New models
- Mangrove Classification (Landsat 8)
Classify mangroves from Landsat 8 imagery.
- Well Pad Detection—Permian Basin
Detect well pads on Sentinel-2 imagery.
Updated models
- Power Line Classification
Made improvements to precision and recall, and simplified class structure.
July 2021 release
New models
- Building Footprint Extraction—Africa
Extract building footprints from high-resolution three-band imagery for Africa.
- Parcel Extraction—USA
Demarcate land parcel boundaries with plausible approximations for the United States.
- Object Tracking
Use for applications such as object follower and surveillance of stationary objects.
- Pool Detection—USA
Detect pools from high-resolution three-band imagery for the United States.
- Solar Panel Detection—USA
Detect solar panels from high-resolution three-band imagery for the United States.
- Crowd Counting
Count crowds.
- Car Detection—USA
Detect cars from high-resolution three-band imagery for the United States.
- Ship Detection (SAR)
Detect ships globally from SAR data.
February 2021 release
New models
- Road Extraction—North America
Extract roads from high-resolution (30–50 centimeters) aerial and satellite imagery.
- Land Cover Classification (Sentinel-2)
Perform land cover classification on Sentinel-2 imagery.
- Human Settlements Classification (Sentinel-2)
Classify human settlements on Sentinel-2 imagery.
- Human Settlements Classification (Landsat 8)
Classify human settlements on Landsat 8 imagery.
- Shipwreck Detection
Detect shipwrecks using BAG data.
- License Plate Blurring
Blur car license plates to maintain privacy. As democratization, availability, and acquisition of data is increasing, privacy is becoming a concern. Regulations such as GDPR have been introduced to address the privacy rights of the users.
- Face Blurring
Blur faces to maintain privacy. As democratization, availability, and acquisition of data is increasing, privacy is becoming a concern. Regulations such as GDPR have been introduced to address the privacy rights of the users.
- Windows and Doors Extraction
Extract windows and doors in textured building data displayed in 3D views.
Updated models
- Building Footprint Extraction—USA
Extract building footprints from high-resolution three-band imagery for the United States.
December 2020 release
New models
- Power Line Classification
Extract distribution wires at the street level from point cloud data.
October 2020 release
New models
- Building Footprint Extraction—USA
Extract building footprints from high-resolution three-band imagery for the United States.
- Land Cover Classification (Landsat 8)
Classify land cover on Landsat 8 imagery.
- Tree Point Classification
Classify trees from point cloud data.