- [Discussion] YOLOv5 training questions, specificaly re-training best practices https://github.com/ultralytics/yolov5 5 comments machinelearning
- Classify a person image is full body or not https://github.com/ultralytics/yolov5 6 comments computervision
- YOLOv4/5 - Object Detection for Autonomous Driving - Datasets https://github.com/ultralytics/yolov5 7 comments computervision
- Problem reading from ONNX model. https://github.com/ultralytics/yolov5 6 comments computervision
Linking pages
- GitHub - dog-qiuqiu/MobileNet-Yolo: MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3#500kb%E7%9A%84yolo-face-detection 127 comments
- Sparse YOLOv5: 12x faster and 12x smaller - Neural Magic https://neuralmagic.com/blog/benchmark-yolov5-on-cpus-with-deepsparse/ 53 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - mithril-security/blindai: Confidential AI deployment with secure enclaves https://github.com/mithril-security/blindai 21 comments
- How many images do you need for object detection? | by Changsin Lee | Medium https://changsin.medium.com/how-many-images-do-you-need-for-object-detection-d33185629843 10 comments
- Fine Tuning YOLOv5 - Custom Object Detection Training https://learnopencv.com/custom-object-detection-training-using-yolov5/?ck_subscriber_id=1373562521#Custom-Object-Detection-Training-using-YOLOv5 10 comments
- 32 Open Source Libraries for Python’s 32nd Birthday | by Yujian Tang | Plain Simple Software | Feb, 2023 | Medium https://medium.com/plain-simple-software/32-open-source-libraries-for-pythons-32nd-birthday-8bb3301ec43a 8 comments
- Train Custom Data - Ultralytics YOLOv8 Docs https://docs.ultralytics.com/yolov5/tutorials/train_custom_data/ 8 comments
- GitHub - obss/sahi: Framework agnostic sliced/tiled inference + interactive ui + error analysis plots https://github.com/obss/sahi 6 comments
- YOLOv4 vs YOLOv5. Where is the truth? | by Ildar Idrisov, PhD | Deelvin Machine Learning | Medium https://medium.com/deelvin-machine-learning/yolov4-vs-yolov5-db1e0ac7962b?amp%3Bsk=7b73e0ec5b16109155f48e4d2f39772e&source=friends_link 4 comments
- How robust are pre-trained object detection ML models like YOLO or DETR? | by Lakera | Nov, 2022 | Medium https://lakeraai.medium.com/how-robust-are-pre-trained-object-detection-ml-models-like-yolo-or-detr-faec08e09211 4 comments
- GitHub - hukaixuan19970627/yolov5_obb: yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测 https://github.com/hukaixuan19970627/yolov5_obb 4 comments
- GitHub - WongKinYiu/yolor: implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206) https://github.com/WongKinYiu/yolor 3 comments
- scatbot-edge-ai-shootout/README.md at main · littlebee/scatbot-edge-ai-shootout · GitHub https://github.com/littlebee/scatbot-edge-ai-shootout/blob/main/README.md 3 comments
- GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 2 comments
- GitHub - roboflow/zero-shot-object-tracking: Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP. https://github.com/roboflow-ai/zero-shot-object-tracking 2 comments
- GitHub - dog-qiuqiu/FastestDet: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler https://github.com/dog-qiuqiu/FastestDet 2 comments
- Curating a Dataset from Raw Images and Videos | by Mokshith Voodarla | Towards Data Science https://medium.com/@mvoodarla/curating-a-dataset-from-raw-images-and-videos-c8b962eca9ba 2 comments
- GitHub - roboflow-ai/notebooks: Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos. https://github.com/roboflow-ai/notebooks 2 comments
- Image Segmentation: Your Ultimate Guide to Easy Deployment and Fast Inferencing - Neural Magic https://neuralmagic.com/blog/image-segmentationyour-ultimate-guide-to-easy-deployment-and-fast-inferencing/ 2 comments
Linked pages
- Welcome to Python.org https://python.org 604 comments
- Google Colab https://colab.research.google.com/signup 110 comments
- ImageNet http://image-net.org/index 12 comments
- GitHub - ultralytics/ultralytics: NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite https://github.com/ultralytics/ultralytics 12 comments
- Ultralytics Licensing https://www.ultralytics.com/license 4 comments
- Start Locally | PyTorch https://pytorch.org/get-started/locally/ 3 comments
- COCO - Common Objects in Context http://cocodataset.org 2 comments
- GitHub - google/automl: Google Brain AutoML https://github.com/google/automl 0 comments
- Release v7.0 - YOLOv5 SOTA Realtime Instance Segmentation · ultralytics/yolov5 · GitHub https://github.com/ultralytics/yolov5/releases/v7.0 0 comments
- Amazon EC2 P3 – Ideal for Machine Learning and HPC - AWS https://aws.amazon.com/ec2/instance-types/p3/ 0 comments
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