Results for "detection"
Object Detection
IntermediateIdentifying and localizing objects in images, often with confidence scores and bounding rectangles.
Object detection is like teaching a computer to spot and identify different things in a picture or video. Imagine you have a photo of a park with people, dogs, and trees. Object detection helps the computer recognize each of these items and draw boxes around them to show where they are. It uses a...
Detects trigger phrases in audio streams.
Identifying and localizing objects in images, often with confidence scores and bounding rectangles.
Identifying suspicious transactions.
Identifying abrupt changes in data generation.
AI focused on interpreting images/video: classification, detection, segmentation, tracking, and 3D understanding.
Pixel-level separation of individual object instances.
Of predicted positives, the fraction that are truly positive; sensitive to false positives.
Of true positives, the fraction correctly identified; sensitive to false negatives.
Of true negatives, the fraction correctly identified.
Networks using convolution operations with weight sharing and locality, effective for images and signals.
Automated detection/prevention of disallowed outputs (toxicity, self-harm, illegal instruction, etc.).
When some classes are rare, requiring reweighting, resampling, or specialized metrics.
Observing model inputs/outputs, latency, cost, and quality over time to catch regressions and drift.
Maliciously inserting or altering training data to implant backdoors or degrade performance.
Hidden behavior activated by specific triggers, causing targeted mispredictions or undesired outputs.
Combining signals from multiple modalities.
Assigning labels per pixel (semantic) or per instance (instance segmentation) to map object boundaries.
Pixel motion estimation between frames.
Identifying speakers in audio.
Low-latency prediction per request.
Process for managing AI failures.
External sensing of surroundings (vision, audio, lidar).
Software simulating physical laws.
High-fidelity virtual model of a physical system.
Detecting and avoiding obstacles.
Automated assistance identifying disease indicators.
Signals indicating dangerous behavior.