Rich in information
Unlock insights with ML
Size
Volume
Unique processing requirements
Large amount of metadata
Complex and Challenging
Competitive edge
Images and Videos are Special.
https://tenor.com/view/deep-x-safety-compliance-ai-deep-x-warehousing-gif-gif-22102128
DEMO
Think back to the last time you created a video dataset for something
Train models to detect people and activity in videos captured in locations X, Y, Z
https://xnet.senstar.com/webhelp/Symphony/7.2/en/topic_concept/air_indoor_people_introduction.html
DIY Visual Data Management for Analytics
Databases
Storage
Ingest / ETL
Images / videos
+
Metadata
Image / video processing
Query scripts to build datasets
ML frameworks
Datasets
Graphical frontends for display
Embeddings
Models to deploy
Metadata
Images / videos
Labels
Datasets
Labels
Images / videos
Labeling frameworks
K-NN search libraries or in house scripts for similarity search
Recommendations
Cameras
Digital Assets/ Public Datasets
Labelers
Videos Add More Misery
Splitting into intervals can split interesting events across video snippets
Allocate a large enough VM to contain expected dataset
Create copies of interesting frames
Challenging to query, visualize, and debug
Days to prepare datasets at times, with tons of technical debt, and wasted resources
Can We Simplify Video (+ Image) Management and Access for Analytics?
Vishakha Gupta
vishakha@aperturedata.io
ApertureDB: Purpose-built Database for Visual Analytics
Query Engine (Orchestrator)
Implements the JSON-based native API
Query / update metadata or data
Capture snapshots of training data
On the fly visual data preprocessing
Find visual data using annotations
ML PIPELINES/ END USERS
Ingest Data
Train Model
Validate Model
Deploy Model
Built-in similarity matching for high-dimensional�feature vectors
SIMILARITY SEARCH
Native support for images, videos, and pre-processing operations
VISUAL DATA
Knowledge graph of user metadata, annotations, for advanced visual search
METADATA
ApertureDB
Label Data
It can be made simple – down to minutes
Simpler Data Pipeline Shifts Focus to ML / Data Science
Models to deploy
Recommendations
Images / videos +
Metadata
Annotations
ML Frameworks
Graphical frontends for display
Labeling Frameworks
Transform
Query datasets using keyword or similarity search
Cameras
Vendors
Labelers
Let’s chat during the poster session about your data challenges and how we are building ApertureDB!
team@aperturedata.io