Agentic Object Detection

Reasoning-driven object detection:
human-like precision via text prompts without the overhead of custom training

Reasoning-Driven Object Detection

Agent systems use design patterns to reason at length about unique attributes
like color, shape, and texture for smarter, more precise recognition in any scenario.

Intrinsic Attribute Recognition

Identifies objects based on their inherent properties, independent of external context.

"unripe Strawberry”

Contextual Relationship

Identifies objects based on their spatial positioning or relationship with other objects in a scene.

"daisy on top of ice cream”

Specific Object Recognition

Precisely identifies and differentiates objects within
the same category based on their distinct identities.

"hex key set"

Dynamic State

Detects objects based on movement, actions, or changing
conditions, independent of attributes or context.

"player in mid-air"

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Industry Specific Use-Cases

USE CASE: Assembly Verification

Capacitors

USE CASE: Workforce safety

detect person without helmet

USE CASE: Logistics

evergreen container

USE CASE: Food & Beverage

product without lid

USE CASE: Product Packaging

apple without form covering

USE CASE: Healthcare

detect nagative antigen test

USE CASE: Disaster Recovery

building destroyed in fire

USE CASE: Retail & Restaurant

unoccupied table

Internal Benchmarks Evaluation

LandingAI’s Agentic Object Detection significantly outperforms
systems by other leading teams.¹

Approach	Category	Recall	Precision	F1 Score
Agentic Object Detection	Agentic	77.0%	82.6%	79.7%
Microsoft Florence-2	Open Set Object Detection	43.4%	36.6%	39.7%
Google OWLv2	Open Set Object Detection	81.0%	29.5%	43.2%
AliBaba Qwen2.5-VL-7B-Instruct	LMM	26.0%	54.0%	35.1%

¹ Benchmark consists of images from Pixmo datasets and annotated internally with bounding box, object prompts and/or reference expressions.

What’s Coming

We’re excited to share this Agentic Object Detection milestone with you.
While it’s a significant step forward, we’re committed to ongoing improvements in accuracy and speed.

Future plans include adding object tracking, multiple object types detection, and video support.
We invite you to explore our APIs and create innovative projects.

Join our VisionAgent Discord Community to share your feedback and cool projects.

Stay tuned for updates and happy building!

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