Linking pages
- GitHub - roboflow/supervision: We write your reusable computer vision tools. 💜 https://github.com/roboflow/supervision 44 comments
- GitHub - IDEA-Research/Grounded-Segment-Anything: Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything https://github.com/IDEA-Research/Grounded-Segment-Anything 15 comments
Linked pages
- [2004.10934] YOLOv4: Optimal Speed and Accuracy of Object Detection https://arxiv.org/abs/2004.10934 64 comments
- GitHub - roboflow/supervision: We write your reusable computer vision tools. 💜 https://github.com/roboflow/supervision 44 comments
- [2207.02696] YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://arxiv.org/abs/2207.02696 31 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov5 25 comments
- How to Train YOLOv5-Classification on a Custom Dataset - YouTube https://www.youtube.com/watch?v=DPjp9Kq4qn8 16 comments
- GitHub - ultralytics/ultralytics: NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite https://github.com/ultralytics/ultralytics 12 comments
- [1506.02640] You Only Look Once: Unified, Real-Time Object Detection http://arxiv.org/abs/1506.02640 8 comments
- GitHub - meituan/YOLOv6: YOLOv6: a single-stage object detection framework dedicated to industrial applications. https://github.com/meituan/YOLOv6 7 comments
- How to Train YOLOv5 Instance Segmentation on a Custom Dataset - YouTube https://www.youtube.com/watch?v=vKzfvtEtiYo 7 comments
- GitHub - Megvii-BaseDetection/YOLOX: YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ https://github.com/Megvii-BaseDetection/YOLOX 6 comments
- GitHub - IDEA-Research/GroundingDINO: The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" https://github.com/IDEA-Research/GroundingDINO 6 comments
- GitHub - autodistill/autodistill: Images to inference with no labeling (use foundation models to train supervised models) https://github.com/autodistill/autodistill 5 comments
- How to Train Detectron2 on Custom Object Detection Data https://blog.roboflow.com/how-to-train-detectron2/ 4 comments
- How to Train YOLOv6 on a Custom Dataset - YouTube https://www.youtube.com/watch?v=fFCWrMFH2UY 4 comments
- Roboflow: Computer vision tools for developers and enterprises https://roboflow.com/ 3 comments
- GitHub - lucidrains/vit-pytorch: Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch https://github.com/lucidrains/vit-pytorch#vision-transformer-for-small-datasets 3 comments
- Train Instance Segmentation Model with Detectron2 | Tutorial | Custom Dataset | Google Colab - YouTube https://www.youtube.com/watch?v=e8LPflX0nwQ 2 comments
- GitHub - ifzhang/ByteTrack: [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box https://github.com/ifzhang/ByteTrack 1 comment
- How To Train SegFormer on a Custom Dataset https://blog.roboflow.com/how-to-train-segformer-on-a-custom-dataset-with-pytorch-lightning/ 1 comment