PyImageSearch
@PyImageSearch
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Leading deep learning educator. Tutorials and courses on #DeepLearning, #ComputerVision, #LLMs, #GenAI, #OpenCV, #Keras, #TensorFlow, #PyTorch, and many more.
USA
Joined January 2014
🧠 Unconditional + prompt-guided captions.⚡ Hash-based caching on @Redisinc = instant repeats.🛠️ Served via @FastAPI, @salesforce BLIP model from @huggingface.
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New tutorial! 🚀. BLIP Captioning API + Redis Cache w/ FastAPI.👍.Author: Vikram Singh.#BLIP #ImageCaptioning #FastAPI #Redis #HuggingFace #MLOps #Python
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RT @KalshiSports: Game by the numbers. Kalshi volume: $26.6m.Spit ejections: 1.Rizzler commercials: 1.Weather delays: 1.AJ Brown catches: 1.
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New tutorial! 🚀. From CNN+RNN ➝ BLIP. 🧩 @salesforce BLIP on @huggingface = vision + language fused.⚙️ Practical, scalable, deployment-ready. 👍. Author: Vikram Singh. #BLIP #ImageCaptioning #VLM #AI #HuggingFace #PyImageSearch
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⚖️ Qwen Model from @alibaba_cloud decides which model gives better VQA answers — @salesforce BLIP vs @Google PaliGemma.📊 No humans, just pure AI judgment.🔥 Final result: a polished VQA @huggingface dataset.
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New tutorial! 🚀.Synthetic Data Generation Using the VLM-as-Judge Method.👍.Author: Piyush Thakur.#VQA #SyntheticData #Qwen #BLIP #PaliGemma #AI #MachineLearning #HuggingFace.
pyimagesearch.com
Use Qwen as a judge to compare BLIP and PaliGemma outputs, creating a high-quality synthetic VQA dataset automatically.
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@cosmo3769 Generated 85.7k+ synthetic VQA answers using VLMs 🤯. 🖼️ Models: @salesforce BLIP + @Google PaliGemma.📦 Format: @huggingface Datasets.👀 No labeling needed!.
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🚀 New tutorial just dropped!.Synthetic Data Generation Using the BLIP and PaliGemma Models.👉 Read the full tutorial: ✍️ Author: @cosmo3769 .#AI #VisionLanguageModels #SyntheticData #VQA #BLIP #PaliGemma #MachineLearning #HuggingFace #OpenSourceAI
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New tutorial! 🚀.Fine-tuning @huggingface SmolVLM with Direct Preference Optimization 😎.🧠 Just pure alignment using human preferences!.Built with LoRA + PEFT + TRL.👉 Author: @puneet2k.#SmolVLM #DPO #AIAlignment #HuggingFace #RLHF #LoRA #Transformers.
pyimagesearch.com
Fine tune SmolVLM using DPO — maximize human alignment with streamlined, effective preference optimization.
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🤖 Master Vision-Language Models (VLMs).🧠 Chat with documents.📹 Generate Video Highlight Reels .📝 Turn sketches into HTML/CSS.
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Want your tactical tools seen on national TV—not just social?.Our tactical shows air on cable, satellite & streaming across the U.S. Make customers see your brand like never before. See how it works.
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🚀 "Build Your Own AI Vision Bot" Kickstarter launches Friday!. ⚡ Early Bird = 50% off. 🔗 Join the pre-launch list now:. #AI #VLM #Kickstarter
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🕶️ Skip the backend, run object detection fully in your browser!.🧠 Powered by @onnxai and @onnxruntime + @ultralytics YOLOv8 magic.🛠️ Built with @nextjs + @tailwindcss, real-time inference with WebAssembly!.
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New tutorial! 🚀.Run YOLO in the Browser with ONNX, WebAssembly, and Next.js.🕶️ Skip the backend, run object detection fully in your browser!.👍.Author: Vikram Singh.#YOLO #ONNX #WebAssembly #ComputerVision #Nextjs #OpenCVjs #BrowserAI #MLinJS.
pyimagesearch.com
Run YOLO object detection models directly in the browser using ONNX, WebAssembly, and Next.js — no server or GPU needed. Fast, private, and interactive.
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🕳️ Build an AI that doesn’t just find potholes — it tells you how bad they are.🤖 Fine-tuned with @ultralytics YOLOv12 and powered by @roboflow .📦 Deployed with @Docker + interactive @Gradio app for both image & video inputs.
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New tutorial! 🚧.Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset.👍.Author: Vikram Singh.#ComputerVision #YOLOv12 #PotholeDetection #Gradio #Docker #Ultralytics #Roboflow #AI4Infrastructure.
pyimagesearch.com
Train YOLOv12 to detect and classify potholes by severity. Run it anywhere using a Gradio interface for image and video input.
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🎯 Learn how to count people in and out of a space using just a video feed and some Python magic.🧠 Powered by the attention-equipped YOLOv12 model from @ultralytics .🛠️ Built using OpenCV (@OpenCVUniverse) + a custom Centroid Tracker (lightweight and perfect for real-time apps).
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New tutorial! 🚶♂️🚶♀️📊.People Tracker with YOLOv12 and Centroid Tracker.👍.Author: Vikram Singh.#YOLOv12 #ComputerVision #PeopleCounting #Python #OpenCV #Ultralytics #ObjectTracking.
pyimagesearch.com
Learn how to monitor a real-time people tracker with YOLOv12 and Centroid Tracker for efficient entry and exit counting.
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🤯 Say goodbye to CNNs — YOLOv12 just added attention and didn't break a sweat!.🧠 Powered by Area Attention + FlashAttention, this model is fast, smart, and ready for real-time action. ⚙️ Built with @ultralytics, optimized for @nvidia A100, and ready to @Gradio your socks off.
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🚨 New tutorial drop! 🚨.Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection.👍.Author: Vikram Singh.#YOLOv12 #ObjectDetection #FlashAttention #Ultralytics #ComputerVision #RealTimeAI #MachineLearning.
pyimagesearch.com
Discover how YOLOv12 breaks free from CNNs by integrating attention for real-time object detection, achieving top accuracy without sacrificing speed.
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@cosmo3769 🎞️ Turn long videos into punchy highlight reels — automatically!.🧠 Powered by the compact SmolVLM2 model from @huggingface .⚙️ Built with @Gradio, FFmpeg, and a splash of FlashAttention magic 💥.
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New tutorial! 🎬✨.Generating Video Highlights Using the SmolVLM2 Model.🎞️ Turn long videos into punchy highlight reels—automatically!..Author: @cosmo3769 .#VideoAI #SmolVLM2 #Gradio #VisionLanguageModel #HuggingFace #AItools #MultimodalAI #PyImageSearch
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