Infra built for models that go into production
We bring the infrastructure and compute, you bring your data and define your use case. Focus on ROI, not infrastructure.
YOLO_11nano

Jul 9

Training Details
1.6kBatch Size
640Image Size
20Epochs
Performance Metrics
Precision
0.91
Recall
0.87
mAP50
0.84
mAP50-95
0.55
Metrics Across Epochs
Precision
0.91
Recall
0.87
mAP50
0.84
mAP50-95
0.55
Model Sizes
Choose the right model size for your
Nano
Small
Medium
Large
Extra Large
Model Tasks
Build task-specific custom models grounded on your data and use case
Object Detection visualization
Segmentation visualization
Version Model Training
Versioned model training

Move beyond chaotic notebook experiments with structured, versioned model training. Track every training run, compare model performance across versions, and maintain reproducible workflows that scale from research to production deployment.

Find a model version
Autonomous Vehicle v3.2
v3.2Dec 15, 2024
Latest
YOLO_11nanomAP50: 0.84
Autonomous Vehicle Detect...
v3.1Nov 28, 2024
YOLO_11smallmAP50: 0.81
Autonomous Vehicle Detect...
v3.0Dec 18, 2024
Training
YOLO_11mediummAP50: 0.68
Autonomous Vehicle Detect...
v2.8Nov 15, 2024
Failed
YOLO_10largemAP50: 0.24
Autonomous Vehicle Detect...
v2.5Oct 22, 2024
YOLO_9xlargemAP50: 0.87
Autonomous Vehicle Detect...
v2.7Dec 20, 2024
Training
YOLO_11mediummAP50: 0.74
Autonomous Vehicle Detect...
v2.9Dec 12, 2024
YOLO_11largemAP50: 0.82
BENEFITS
Models training built for production use cases
On-demand GPU Access

From DeepSeek to Owen or Flux, our infra is built to support training jobs of any size and models of any modality.

Fire and Forget

Run jobs on-demand; only pay for the compute you use. Don't worry about starting or stopping your environment.

Built for Developers by Developers

After years of tuning models our engineers built infra that's thoughtful and fulsome in terms of observability, features, and storage.

Your Data, Your Models, all in one place

After years of tuning models our engineers built infra that's thoughtful and fulsome in terms of observability, features, and storage.

Ocular SDK
Engineered for ambitious AI projects
PY
ocular-sdk.py
1from ocular import Ocular
2
3# Initialize the SDK with your API key
4ocular = Ocular(api_key="api_key")
5
6# Access a workspace
7workspace = ocular.workspace("workspaceID")
8
9# Get a project from the workspace
10project = workspace.project("projectID")
11
12# Get a version from the project
13version = project.version("versionID")
14
15# Get an export from the version
16export = version.export("exportID")
17
18# Download the export dataset
19dataset_path = export.download()
20
Integrations
Integrate with your tech stack

Ocular integrates with your existing tech stack and multiple integrations that slot seamlessly into your workflows and pipelines.

Even when you connect to external data sources, all data stays on your existing infrastructure and data sources.

AWS
GCP
Azure
Slack
Security
Enterprise-grade security

Enterprise-grade and battle-tested security measures and protocols to protect your data.

All our systems are built with security in mind and are constantly monitored and audited.

SOC
SOC2
Ready to transform your unstructured data into AI?
Loading...