Object detection companies, products & suppliers
Locating objects with boxes/masks as a vision capability product, not a finished inspection or analytics suite. Jobs: detectors as apis; custom classes; edge detectors.
What is Object detection?
Locating objects with boxes/masks as a vision capability product, not a finished inspection or analytics suite. Jobs: detectors as apis; custom classes; edge detectors.
What problems does it solve?
Application teams need boxes, not a dashboard.
Typical business use cases
- Detectors as APIs
- Custom classes
- Edge detectors
Important capabilities
- Classes
- Latency
- Hosting
What buyers should evaluate
- Custom class effort
- Edge vs cloud
- Biometric classes
Risks and governance considerations
A detector of faces sold as generic 'objects'.
Procurement checklist
- Classes listed
- Edge
- Biometric
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Products and providers
Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.
Amazon Rekognition is an AWS computer vision service that adds image recognition and video analysis to applications without machine learning expertise. It detects objects, scenes,
By BriefCam
BriefCam Video Content Analytics, now offered by Milestone Systems, uses artificial intelligence to speed up video review, trigger real-time alerts and analyse video data. It conde
By Clarifai
Clarifai Visual Detector is Clarifai's model API, from Clarifai, Inc. Published at docs.clarifai.com/create/models/deep-fine-tuning. Directory filing: Object detection. Vendor lega
By LandingAI
LandingAI is on a mission to make the world's documents computable. Agentic Document Extraction helps enterprise developers build document automation pipelines at scale. Accur
By Microsoft
Automated ML (AutoML) in Azure Machine Learning automatically trains and tunes models from the data and criteria a user provides, including computer vision tasks such as image clas
By NVIDIA
NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA NIM for Grounding DI
By Qualcomm
Learn how Qualcomm transforms industries with leading edge AI, high-performance, low-power computing and unrivaled connectivity. DETR-ResNet50 on Qualcomm AI Hub is Qualcomm's mode
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Amazon Rekognition· Amazon Web Services
- Azure Machine Learning AutoML for image object detection· Microsoft
- Clarifai Visual Detector· Clarifai
- DETR-ResNet50 on Qualcomm AI Hub· Qualcomm
- NVIDIA NIM for Grounding DINO· NVIDIA
- NVIDIA NIM for RetinaNet· NVIDIA
- NVIDIA TAO Toolkit· NVIDIA
- YOLOv11-Detection on Qualcomm AI Hub· Qualcomm
- YOLOv8-Detection on Qualcomm AI Hub· Qualcomm
- YOLOX on Qualcomm AI Hub· Qualcomm
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- BriefCam Video Content Analytics· BriefCam
- Clarifai Computer Vision· Clarifai
- LandingLens· LandingAI
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Object detection?
Locating objects with boxes/masks as a vision capability product, not a finished inspection or analytics suite. Jobs: detectors as apis; custom classes; edge detectors.
What should not be listed as Object detection?
Products whose buyer job is visual inspection, image recognition, or vision models as foundation SKUs. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Object detection supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.
What security testing evidence should buyers request for an AI product?
Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.