Detection
Artificial Intelligence
Warden: Real Time Anomaly Detection at Pinterest What’s Warden? Detecting Real Time ML Model Drift Detecting Spam Future Acknowledgements
Isabel Tallam | Sw Eng, Real Time Analytics; Charles Wu | Sw Eng, Real Time Analytics; Kapil Bajaj | Eng Manager, Real Time AnalyticsDetecting anomalous events has been becoming increasingly essential in recent times...
Artificial Intelligence
Compare and Evaluate Object Detection Models From TorchVision Introduction What’s Object Detection Finetuning Pre-trained Models Image Data Formats Evaluation Metrics for Object Detection Challenges of Comparing Object Detection Models Using Comet...
Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOSEach of our two-stage object detection models (in green and lightweight blue above) far out-perform the single-stage models in mean average precision,...
Artificial Intelligence
How YOLO-NAS is Leaving YOLOv8 within the Dust — And Why You Must Know About It! The Advanced Training Scheme: Like an ’80s Training Montage...
Ritz here. You understand, I’ve been across the block a time or two in terms of working with object detection models. So once I heard about this hot latest thing called YOLO-NAS, I knew...
Artificial Intelligence
Constructing a big scale unsupervised model anomaly detection system — Part 2
Constructing ML Models with Observability at ScaleBy Rajeev Prabhakar, Han Wang, Anindya SahaThe highlighted red lines (anomalous hours from the prediction data) co-inside with a spike and drop in request latency, causing anomalies within...
Artificial Intelligence
Unlock the Power of Audio Data: Advanced Transcription and Diarization with Whisper, WhisperX, and PyAnnotate Introduction Whisper: A General-Purpose Speech Recognition Model PyAnnotate: Speaker Diarization Library WhisperX: Long-Form...
Streamline Audio Evaluation with State-of-the-Art Speech Recognition and Speaker Attribution TechnologiesIn our fast-paced world, we generate enormous amounts of audio data. Take into consideration your favorite podcast or conference calls at work. The information...
Artificial Intelligence
Challenges of huge open-source datasets for constructing detection in Africa Intermezzo: constructing footprint vs rooftop Comparison Discussion Conclusion References
Written by Sara Verbič. Work performed by Sara Verbič, Devis Peressutti, Nejc Vesel, Matej Batič, Žiga Lukšič, Jan Geršak, Matic Lubej and Nika Oman Kadunc.We desired to create a big training dataset for automated...
Artificial Intelligence
Advanced Time-Series Anomaly Detection with Deep Learning in PowerBI
How a posh and cutting-edge approach, creatively borrowed from computer vision, may be implemented in only just a few clicks.ConclusionThis text demonstrates how a reasonably sophisticated time-series anomaly detection algorithm, inspired by computer vision,...
Artificial Intelligence
Fast-Tracking Incident Detection with User and Entity Behavior Analytics (UEBA)
Information overload — and false positives — are major challenges in the everyday incident response organization. Due to the plethora of various security platforms, applications, and tools, security teams with limited resources must sift...
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