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yolo11x-uavs-detect
MBARI-org/yolo11x-uavs-detect
yolo11x-uavs-detect is a machine learning model from MBARI-org. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
UAVS model trained on all verified object classes, collapsed to only one class - object.
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Public
Updated Oct 2, 2025
Repo size
120 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Feb 12, 2025
- Updated
- Oct 2, 2025
- SHA
- ecc6f8ee
Model card
From the Hugging Face model README
UAVS model trained on all verified object classes, collapsed to only one class - object.
Acts as object detector to feed detection stage of a pipeline
Ultralytics 8.3.62 Python-3.11.11 torch-2.5.1+cu121 CUDA:0 (NVIDIA A100-SXM4-40GB, 40514MiB)
YOLO11x summary (fused): 464 layers, 56,828,179 parameters, 0 gradients, 194.4 GFLOPs
40 epochs
Class all
Images 1170 Instances 1259
P 0.58277 R 0.51191 mAP50 0.54094
mAP50-95 0.36189
Speed: 0.1ms preprocess, 3.7ms inference, 0.0ms loss, 0.9ms postprocess per image
- License
- mit
- Created
- Feb 12, 2025
- Updated
- Oct 2, 2025