Building computer vision applications Q&A
summary
Azure Cognitive Services for Vision offers captioning (full image or up to 10 regions), vector-based retrieval and video search, background removal/segmentation, OCR/Read API including handwriting, and a new video summarization that already summarizes sample uploads; customization uses the Florence foundation model for few‑shot product and object recognition, face verification uses Recognition_04 face model, body‑tracking (32 joint points) and edge containers are in private preview, Vision Studio allows testing but not model export, and customer training data stays private.
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chapters (28)
- 0:00Q&A
- 1:17Azure Cognitive Services for Vision
- 5:19OCR and real-time vision
- 6:49CNN alternatives for classification
- 8:20OCR text and file size limits
- 9:04ID verification and facial recognition
- 11:33Training object detection models
- 13:02Aging algorithms for missing children
- 14:48Video summarization feedback
- 16:15Spectral imaging and custom models
- 18:48Product type and serial number detection
- 20:40Vision analytics for equipment failure
- 23:10Importing and exporting models
- 23:52Body tracking and spatial analysis
- 25:40Florence vs GPT-4 image comparison
- 27:27Multimodal vision, language, and sound
- 28:31Ingesting video feeds
- 31:05Proprietary data and model policies
- 33:12Azure Depth Platform and 3D services
- 34:16HoloLens hand tracking
- 35:21Low frame rate image simulation
- 37:35Edge support for custom models
- 38:57Edge support timeline
- 40:02Passive identification in care facilities
- 41:52Video transcription and script generation
- 43:22Video vs image search differences
- 44:10Spatial analysis with sequential images
- 45:57Closing remarks
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