Computer Vision - Run YOLO 11 on Google Colab

Take a look result of prediction a photo look like

 

pip install ultralytics

import ultralytics

ultralytics.checks()

Ultralytics 8.3.154 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (Tesla T4, 15095MiB) Setup complete ✅ (2 CPUs, 12.7 GB RAM, 41.5/112.6 GB disk)



yolo predict model=yolo11n.pt source='/content/drive/MyDrive/images/HoneyAssitanceBaptismCeremony.jpg'

predict results are 3 persons look like

Ultralytics 8.3.155 🚀 Python-3.11.13 torch-2.6.0+cu124 CUDA:0 (Tesla T4, 15095MiB) YOLO11n summary (fused): 100 layers, 2,616,248 parameters, 0 gradients, 6.5 GFLOPs image 1/1 /content/drive/MyDrive/images/HoneyAssitanceBaptismCeremony.jpg: 640x384 3 persons, 44.9ms Speed: 2.6ms preprocess, 44.9ms inference, 161.1ms postprocess per image at shape (1, 3, 640, 384) Results saved to runs/detect/predict9 💡 Learn more at https://docs.ultralytics.com/modes/predict

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