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uav-yolov11x-jelly
MBARI-org/uav-yolov11x-jelly
uav-yolov11x-jelly 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 only one class - jellys.
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Public
Updated Jan 17, 2025
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114 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Jan 17, 2025
- Updated
- Jan 17, 2025
- SHA
- ffcc4f93
Model card
From the Hugging Face model README
UAVS model trained on only one class - jellys.
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 Class Images Instances Box(P R mAP50 mAP50-95): 100% 37/37 [00:08<00:00, 4.30it/s] all 1170 1259 0.825 0.739 0.822 0.417 Speed: 0.1ms preprocess, 3.7ms inference, 0.0ms loss, 0.9ms postprocess per image
- License
- mit
- Created
- Jan 17, 2025
- Updated
- Jan 17, 2025