🌞 Intelligent Object Detection Made Simple

Summer may be winding down, but the Summer of Workflows is still heating up.

This week, transform raw images into actionable insights with our latest Object Detection Workflow! ApertureDB treats bounding boxes and polygons as first-class citizens, enabling powerful search capabilities that go beyond traditional computer vision solutions.

🎬   See It In Action

🚀  Key Features:

• Smart Ingestion: Pull directly from AWS/GCP buckets with secure authentication

• Pre-trained Models: FRCNN MobileNet (plus ResNet & RetinaNet options)

• Advanced Querying: Search images by detected labels, perform similarity searches on regions

• Open Source: Fully customizable workflows on GitHub

• Cloud Integration: Seamless Jupyter notebook connectivity

💡 What You Can Do:

→ Detect & label objects automatically

→ Crop specific regions for further analysis

→ Find similar objects across your dataset

→ Perform intersection over union operations

→ Execute complex JSON-based searches

Perfect for: Computer vision researchers, AI developers, data scientists working with multimodal datasets.

👉 Try It Now!

Read the docs   |  Explore the code  |  Additional Resources

Currently powered by the FRCNN model - got other models in mind? We'd love to hear from you!

Part 8 of our Summer of Workflow series - only 4 more innovative workflows coming your way!

Team ApertureData