Instructions to use Sparkplugx1904/AnedetAI-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Sparkplugx1904/AnedetAI-Models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Sparkplugx1904/AnedetAI-Models") - Notebooks
- Google Colab
- Kaggle
Upload 9 files
Browse files- yolo26n-seg/best.onnx +3 -0
- yolo26n-seg/best.pt +3 -0
- yolo26n-seg/best_saved_model/best_float16.tflite +3 -0
- yolo26n-seg/best_saved_model/best_float32.tflite +3 -0
- yolo26n-seg/best_saved_model/fingerprint.pb +3 -0
- yolo26n-seg/best_saved_model/metadata.yaml +22 -0
- yolo26n-seg/best_saved_model/saved_model.pb +3 -0
- yolo26n-seg/best_saved_model/variables/variables.data-00000-of-00001 +0 -0
- yolo26n-seg/best_saved_model/variables/variables.index +0 -0
yolo26n-seg/best.onnx
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size 11153496
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yolo26n-seg/best.pt
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oid sha256:f34bbe07571b8d2a41d5bc86e5911b8a4485040c49fd3d5a8cec54deed62eb6d
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size 6553181
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yolo26n-seg/best_saved_model/best_float16.tflite
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oid sha256:398801772d1ce7cacdd7b66c89f451e8f744990d87790bf782407eff95b6bc80
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size 5796677
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yolo26n-seg/best_saved_model/best_float32.tflite
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yolo26n-seg/best_saved_model/fingerprint.pb
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yolo26n-seg/best_saved_model/metadata.yaml
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description: Ultralytics YOLO26n-seg model trained on /kaggle/working/eye-conjunctiva-detector-2/data.yaml
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author: Ultralytics
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date: '2026-05-12T09:28:03.922858'
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version: 8.4.33
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license: AGPL-3.0 License (https://ultralytics.com/license)
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docs: https://docs.ultralytics.com
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stride: 32
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task: segment
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batch: 1
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imgsz:
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- 640
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- 640
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names:
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0: conjunctiva
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args:
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batch: 1
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fraction: 1.0
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half: true
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int8: false
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nms: false
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channels: 3
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end2end: true
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yolo26n-seg/best_saved_model/saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e66727058a74cab59a2c9b48e695989d10295746c0edc808b9e3c439ddff787
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size 11350853
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yolo26n-seg/best_saved_model/variables/variables.data-00000-of-00001
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Binary file (20.9 kB). View file
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yolo26n-seg/best_saved_model/variables/variables.index
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Binary file (286 Bytes). View file
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