New YOLOcF fruit detector improves yield prediction & harvesting automation. It’s faster & needs less processing power than ...

Roboflow allows you to create object detection datasets from scratch or convert existing datasets from formats like YOLO, and then export them in COCO JSON format for training. You can also explore ...

Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex networks to ...

Contribute to Harshitha112004/REAL-TIME-OBJECT-DETECTION-USING-PYTHON development by creating an account on GitHub.

Ensuring safety in both autonomous driving and advanced driver-assistance systems (ADAS) depends critically on the efficient deployment of traffic sign recognition technology. While current methods ...

SSD-YOLO exhibits a notable detection speed, making it suitable for most real-time applications. Moreover, SSD-YOLO not only boasts a smaller model size but also maintains an efficient detection speed ...

3 Proposed computer vision-based fire and smoke detection system To address the challenges discussed in the previous section, we present a transfer learning based real-time fire and smoke detection ...

The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect ...