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Source channel @githubtrending · Post #15511 · Feb 20

#python#bytetrack#multi_object_tracking#oc_sort#sort Trackers is a simple Python library (pip install trackers) for multi-object tracking that plugs into any detection model like YOLO. Use it via CLI on videos/webcams or in Python code with trackers like ByteTrack (top performer on MOT17/SportsMOT benchmarks) to add labels and trajectories. Evaluate with MOT metrics too. Benefit: Quickly add reliable object tracking to your computer vision projects for real-time apps like traffic or sports analysis, saving time on custom code. https://github.com/roboflow/trackers

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@forbid_403 · Post #360 · 07/06/2024, 03:15 AM

Twilio 在骇客放出数据后确认 Authy 用户手机号码遭到泄露。受影响用户数约 3300 万。 Authy 是 Twilio 的 2FA 软件,需要手机号码注册。Twilio 的部分服务只支持此 App 作为 2FA 方式。 securityweek.com/~ #Twilio#Privacy

AI & Law

@ai_and_law · Post #96 · 08/28/2023, 07:04 AM

Twilio Introduces "Nutrition Labels" to Boost Trust in AI Hello AI&Law society! Twilio, a communication tool services company, is taking a proactive step to enhance transparency and trust in its artificial intelligence services. The company is introducing "nutrition labels" for its AI models, providing information about the data used for training, the purpose of data collection, and more. The labels aim to offer users a clear understanding of how their data will be utilized. The "nutrition labels" highlight key aspects such as which AI models are being employed, whether customer data is used for training, and whether human involvement is integrated. Additionally, Twilio offers an online tool that enables other companies to generate similar labels for their AI products. Twilio's initiative aligns with broader industry efforts to ensure responsible and transparent AI practices. Salesforce, for instance, is also unveiling an acceptable use policy for its generative AI technologies, specifying prohibited practices and emphasizing responsible AI usage. #AI#Transparency#DataPrivacy#Trust#ResponsibleAI#Twilio#Salesforce