Published September 5, 2025
| Version v6
Dataset
Open
SimCLR-Enhanced MammalHairNet: Advancing Species Identification Through Hair Scale Classification
Authors/Creators
Contributors
Data collector (6):
Description
ori_all_training.tar Contains all raw data outside the test set
2025_85_720[_per**}.tar The dataset comprises data excluded from the test set, which have been processed through SAM-based semantic segmentation followed by a series of augmentation techniques, including random contrast adjustment, cropping, noise addition, mirroring, and rotation.
2025_15_100.tar Test set
seg.tar Semantic Segmentation Models and Annotated Datasets
model_resnet_efficientnet_vit.zip Models trained by transfer learning
model_resnet_efficientnet_vit_from_scratch.zip Models trained from scratch
model_fintuning.zip Models trained through SimCLR and fine-tuning
Files
model_resnet_efficientnet_vit_from_scratch.zip
Files
(42.6 GB)
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md5:f3e3816f2a325fe0d672772e58cbe140
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md5:ca4d716c88b730f1ea5c3b15b2cf5d8d
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md5:3873b8b57da62391804a38b49ad52911
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1.6 GB | Preview Download |
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md5:c369d12fe3a01e673e591f67d3d08212
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2.3 GB | Download |
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md5:fdcc4952d9c38dc7da300d13a96f52e4
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3.9 GB | Download |
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md5:8bf09166e6215363032b55236f9f3080
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973.1 MB | Preview Download |
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md5:2ec0f7328c2031e2608becb93d217cd3
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1.7 GB | Preview Download |
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md5:e8a6190beeffcb72125dd308eef24e82
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1.6 GB | Preview Download |
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md5:545958b91d5fa95dc2be1e8b0fdd569d
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18.5 GB | Download |
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md5:d64d4d7332e279874b0cbde475c35b93
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3.1 GB | Download |
Additional details
Dates
- Submitted
-
2025-02-08