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Open source AI/ML capabilities for the FiftyOne ecosystem
Refine high-quality datasets and visual AI models
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Pytorch based library to rank predicted bounding boxes using text/image user's prompts.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Served as a large-scale multi-modal benchmark, Anti-UAV drives the future research on the frontiers of tracking UAVs in the wild. With the above innovations and contributions, we have organized the…
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks