This project is an example of YOLOv8-based NIKE brand logo detection package. It could be easily expanded and retrained on different brands.
-
Updated
Oct 27, 2023 - Python
#
brand-detection
Here are 5 public repositories matching this topic...
Detecting and Replacing Advertisements in Multimedia Content based on Brand Images/Logos.
-
Updated
May 2, 2019 - Java
Multimodal video annotation pipeline — local GPU end-to-end (audio, vision, OCR, faces, brands, chat, music). Turns any long-form video with people into a time-aligned event corpus for synthetic-data construction, training-set curation, and analysis.
python ocr video-annotation pytorch dataset-creation face-recognition whisper speaker-diarization audio-fingerprinting synthetic-data training-data multimodal video-pipeline ml-pipeline brand-detection pyannote vision-language-model local-llm qwen clip-discovery
-
Updated
May 6, 2026 - Python
-
Updated
Mar 11, 2024 - Dart
Revolutionize spatial analysis with our AI-ML API's, delivering unparalleled insights and predictive capabilities for optimized decision-making.
computer-vision face-detection ai-api face-blur license-plate-detection brand-detection cv-api face-blurring
-
Updated
Apr 12, 2023
Improve this page
Add a description, image, and links to the brand-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the brand-detection topic, visit your repo's landing page and select "manage topics."