EthoAI Cloud

Pose Labeler EthoAI Edition

Break species & scenario boundaries — get started easily

A cloud platform for building AI animal pose estimation models — labeling, training, fine-tuning, sharing, and seamless analysis integration. Pose estimation made accessible, affordable, and practical.

EthoAI

No code

Cloud modeling

Multi-species

Flexible

GPU

Cloud training

Overview

In behavioral and neuroscience research, pose estimation is foundational for parsing behavior patterns and revealing brain mechanisms — from fine behavioral capture to deep analysis of complex experimental data.

As species, paradigms, and capture environments diversify, traditional tools struggle. Fixed pretrained models rarely adapt to different strains, apparatus, backgrounds, and lighting without heavy manual effort.

EthoAI Cloud now offers Pose Labeler EthoAI Edition — a research-focused platform integrating labeling, training, fine-tuning, model sharing, and analysis pipelines into one accessible workflow.

Data Labeling

Label samples in the browser — no local install or complex setup.

Model Training

Build pose models with zero code — GPU cloud handles training automatically.

Scene Fine-Tuning

Fine-tune on your data for lighting, background, and apparatus differences.

Model Sharing

Share model projects and datasets — build a team model library over time.

Analysis Pipeline

Trained models connect directly to tracking, visualization, and export.

Core Features

Ready to Use — No Install

Build pose models with zero code

A core EthoAI Cloud app for cloud-based labeling and training. Open the browser, upload data, label samples, and train models — no complex environment setup or coding required.

Custom Keypoints

Define keypoint count and placement freely

Customize keypoint count and topology for diverse species and paradigms — mice, rats, zebrafish, flies, dogs, cats, pigs, monkeys, and scenarios from forced swim to social assays.

AI-Assisted Labeling

Box-select targets for rapid scene adaptation

For mice, streamlined labeling: box-select the animal, confirm keypoint mapping, and the system adapts to your scene automatically — dramatically reducing repetitive manual work.

Fine-Tuning for Precision

Fine-tune on your data for cross-scene stability

Lighting, background, apparatus, strain, and coat color all affect accuracy. Fine-tune on your own data to reduce head/tail confusion, tracking loss, and cross-scene instability.

Efficient Cloud Training

GPU-powered end-to-end automation

Leveraging EthoAI's GPU infrastructure for automated training, optimization, and validation — upload labeled samples and let the platform handle the rest without local high-end hardware.

Models to Analysis Pipeline

One-click integration with behavior analysis

Trained models connect directly to tracking, metrics, visualization, and export. Share model projects and datasets across your team to build a lasting research asset library.

Value Proposition

Give every experimental scenario its own dedicated model

01Browser-based access — rapid modeling with minimal labels
02Flexible keypoints with scene-specific fine-tuning
03Automated cloud training with models flowing into analysis
04A more flexible, intelligent, and efficient pose estimation workflow
05Lower AI barriers with scalable support for behavioral and neuroscience research

EthoAI Cloud Pose Labeler — simpler pose estimation, deeper scientific analysis.

Try Pose Labeler EthoAI Edition

EthoAI