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yolov8n-freeclimbs-detect-2
jwlarocque/yolov8n-freeclimbs-detect-2
yolov8n-freeclimbs-detect-2 is a object detection model from jwlarocque. Use it when you need objects located in an image. The card lists the license as agpl-3.0.
This model is a version of Yolo v8 nano fine-tuned on the freeclimbs v2 dataset to detect climbing holds, particularly holds on home climbing and "spray" walls. (The dataset is not currently available but I plan to re…
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Public
Updated Feb 7, 2024
Repo size
27.6 MB
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3
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At a glance
- Task
- Object Detection
- License
- agpl-3.0
- Access
- Public
- Created
- Feb 4, 2024
- Updated
- Feb 7, 2024
- SHA
- 70bfd1ab
Model card
From the Hugging Face model README
This model is a version of Yolo v8 nano fine-tuned on the freeclimbs v2 dataset to detect climbing holds, particularly holds on home climbing and "spray" walls. (The dataset is not currently available but I plan to release it in the future.)
It expects a 2560x2560 image (if using the ultralytics library as shown below, it will handle this) and detects a single class - climbing holds.
Usage
from ultralytics import YOLO
model = YOLO("yolov8n-freeclimbs-detect-2.pt")
results = model(
["climbing-wall.jpg"],
imgsz=2560,
max_det=2000)
Performance
| Precision | 0.961 |
| Recall | 0.942 |
| mAP50 | 0.988 |
| mAP50-95 | 0.889 |
(on freeclimbs v2 test set)
License
Copyright (c) 2024 John LaRocque
See LICENSE for license (AGPL 3). Note that an earlier version of this repository erroneously included an MIT license - since this model was fine-tuned from a model licensed under the AGPL 3, which is incompatible with other licenses, I am not actually able to offer that license.
- Task
- Object Detection
- License
- agpl-3.0
- Created
- Feb 4, 2024
- Updated
- Feb 7, 2024