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Mdpianimal Models

PyTorch (Ultralytics) detection checkpoints behind the paper. 81 checkpoints: 9 detectors (YOLOv5/v8/v11 at n/s/m) × 3 datasets × 3 random seeds.

Quellehuggingface.co/KZHIwEI/mdpianimal-models/tree/18fa9fefa95f03b96e37d7a116cca47848bc888c

ArtOtherVersionRevision 18fa9fe

Modellquelle

Art: Other
Dateigröße: 5,04–49,7 MB
Version: vRevision 18fa9fe
Aktualisiert: 21. Sept. 2026
Downloads: 242
Quelle: Hugging Face

Quellenauszug

PyTorch (Ultralytics) detection checkpoints behind the paper. 81 checkpoints: 9 detectors (YOLOv5/v8/v11 at n/s/m) × 3 datasets × 3 random seeds.

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1 Quelle

Hugging FacePrimärVersion 18fa9fefa95f03b96e37d7a116cca47848bc888c

huggingface.co/KZHIwEI/mdpianimal-models/tree/18fa9fefa95f03b96e37d7a116cca47848bc888c

Verifiziert 9. Sept.

Modellartefakte

64 Artefakte

cattle/yolo11m/seed0.pt

pt · 38,7 MB · SHA-256 4771ba4fb7fd…2959 · Hugging Face

cattle/yolo11m/seed1.pt

pt · 38,7 MB · SHA-256 2bd226a1d0a8…b741 · Hugging Face

cattle/yolo11m/seed2.pt

pt · 38,7 MB · SHA-256 ee705ec7a3d3…95a5 · Hugging Face

cattle/yolo11n/seed0.pt

pt · 5,25 MB · SHA-256 fae4ca25cda2…2529 · Hugging Face

cattle/yolo11n/seed1.pt

pt · 5,26 MB · SHA-256 67ca541c0c04…f64e · Hugging Face

cattle/yolo11n/seed2.pt

pt · 5,27 MB · SHA-256 84562b7b8043…5232 · Hugging Face

cattle/yolo11s/seed0.pt

pt · 18,3 MB · SHA-256 6c77ffaba7ac…6680 · Hugging Face

cattle/yolo11s/seed1.pt

pt · 18,3 MB · SHA-256 189a3a0d508f…2015 · Hugging Face

cattle/yolo11s/seed2.pt

pt · 18,3 MB · SHA-256 f9f8bd4dc7ca…0af5 · Hugging Face

cattle/yolov5m/seed0.pt

pt · 48,2 MB · SHA-256 547708a0727e…a5da · Hugging Face

cattle/yolov5m/seed1.pt

pt · 48,2 MB · SHA-256 3a23c2890a28…8e03 · Hugging Face

cattle/yolov5m/seed2.pt

pt · 48,2 MB · SHA-256 9a91e7de294d…349a · Hugging Face

cattle/yolov5n/seed0.pt

pt · 5,08 MB · SHA-256 54db64f47b06…2091 · Hugging Face

cattle/yolov5n/seed1.pt

pt · 5,08 MB · SHA-256 cb022ce550b0…79fe · Hugging Face

cattle/yolov5n/seed2.pt

pt · 5,08 MB · SHA-256 eea10e21363a…1853 · Hugging Face

cattle/yolov5s/seed0.pt

pt · 17,7 MB · SHA-256 19a573980bab…fa03 · Hugging Face

cattle/yolov5s/seed1.pt

pt · 17,7 MB · SHA-256 2fa6e833fc70…7203 · Hugging Face

cattle/yolov5s/seed2.pt

pt · 17,7 MB · SHA-256 f56306c1fd91…8065 · Hugging Face

cattle/yolov8m/seed0.pt

pt · 49,7 MB · SHA-256 a00869e753c6…8926 · Hugging Face

cattle/yolov8m/seed1.pt

pt · 49,7 MB · SHA-256 30d2b1f38473…d40a · Hugging Face

cattle/yolov8m/seed2.pt

pt · 49,7 MB · SHA-256 e61a1ff71308…78ba · Hugging Face

cattle/yolov8n/seed0.pt

pt · 6,01 MB · SHA-256 a3dae7e91008…30a6 · Hugging Face

cattle/yolov8n/seed1.pt

pt · 6,01 MB · SHA-256 ccf4f8afa7fd…f23d · Hugging Face

cattle/yolov8n/seed2.pt

pt · 6,01 MB · SHA-256 ddf5160ba152…3930 · Hugging Face

cattle/yolov8s/seed0.pt

pt · 21,5 MB · SHA-256 cd53cfc9a4d8…94ea · Hugging Face

cattle/yolov8s/seed1.pt

pt · 21,5 MB · SHA-256 54aeab04c769…0cba · Hugging Face

cattle/yolov8s/seed2.pt

pt · 21,5 MB · SHA-256 579f3f7f33ba…a378 · Hugging Face

crocodile/yolo11m/seed0.pt

pt · 38,7 MB · SHA-256 34e9d9b28c84…773a · Hugging Face

crocodile/yolo11m/seed1.pt

pt · 38,7 MB · SHA-256 e2859dd9e6a9…8ed1 · Hugging Face

crocodile/yolo11m/seed2.pt

pt · 38,7 MB · SHA-256 89fc4a6086ed…8e70 · Hugging Face

crocodile/yolo11n/seed0.pt

pt · 5,25 MB · SHA-256 148580c6fe4b…21c3 · Hugging Face

crocodile/yolo11n/seed1.pt

pt · 5,24 MB · SHA-256 79b5a38db9d1…2ce0 · Hugging Face

crocodile/yolo11n/seed2.pt

pt · 5,25 MB · SHA-256 715e34a38bde…41fb · Hugging Face

crocodile/yolo11s/seed0.pt

pt · 18,3 MB · SHA-256 8eeed8d0f497…e2de · Hugging Face

crocodile/yolo11s/seed1.pt

pt · 18,3 MB · SHA-256 32af0c5c3839…e57f · Hugging Face

crocodile/yolo11s/seed2.pt

pt · 18,3 MB · SHA-256 e364d5324f78…05b1 · Hugging Face

crocodile/yolov5m/seed0.pt

pt · 48,2 MB · SHA-256 9f856aa835a0…c26e · Hugging Face

crocodile/yolov5m/seed1.pt

pt · 48,2 MB · SHA-256 2a167789a494…6267 · Hugging Face

crocodile/yolov5m/seed2.pt

pt · 48,2 MB · SHA-256 1e665398ec57…d8db · Hugging Face

crocodile/yolov5n/seed0.pt

pt · 5,07 MB · SHA-256 29f710e481ab…0736 · Hugging Face

crocodile/yolov5n/seed1.pt

pt · 5,06 MB · SHA-256 666ca9a1bfcd…b9da · Hugging Face

crocodile/yolov5n/seed2.pt

pt · 5,04 MB · SHA-256 1ec9d02c847d…24d4 · Hugging Face

crocodile/yolov5s/seed0.pt

pt · 17,7 MB · SHA-256 0211a450c5a4…d70d · Hugging Face

crocodile/yolov5s/seed1.pt

pt · 17,7 MB · SHA-256 0a36fe7a43eb…4abf · Hugging Face

crocodile/yolov5s/seed2.pt

pt · 17,7 MB · SHA-256 dba59ee979d3…5b95 · Hugging Face

crocodile/yolov8m/seed0.pt

pt · 49,7 MB · SHA-256 06ac56223552…3b65 · Hugging Face

crocodile/yolov8m/seed1.pt

pt · 49,7 MB · SHA-256 709aecbee761…b5e2 · Hugging Face

crocodile/yolov8m/seed2.pt

pt · 49,7 MB · SHA-256 44df999f7379…3267 · Hugging Face

crocodile/yolov8n/seed0.pt

pt · 5,98 MB · SHA-256 f104362e604d…8bd0 · Hugging Face

crocodile/yolov8n/seed1.pt

pt · 5,99 MB · SHA-256 300767213946…0ea5 · Hugging Face

crocodile/yolov8n/seed2.pt

pt · 5,97 MB · SHA-256 6f52c4180b90…98e2 · Hugging Face

crocodile/yolov8s/seed0.pt

pt · 21,5 MB · SHA-256 3cbfcb6c1159…c301 · Hugging Face

crocodile/yolov8s/seed1.pt

pt · 21,5 MB · SHA-256 92c7d30950a3…91be · Hugging Face

crocodile/yolov8s/seed2.pt

pt · 21,5 MB · SHA-256 a27f2ca4348b…cf33 · Hugging Face

goat/yolo11m/seed0.pt

pt · 38,7 MB · SHA-256 835836777a9b…58c6 · Hugging Face

goat/yolo11m/seed1.pt

pt · 38,7 MB · SHA-256 5e3cdd02f77c…4394 · Hugging Face

goat/yolo11m/seed2.pt

pt · 38,7 MB · SHA-256 afd3e7270475…2376 · Hugging Face

goat/yolo11n/seed0.pt

pt · 5,24 MB · SHA-256 e9f36e8807b8…dee0 · Hugging Face

goat/yolo11n/seed1.pt

pt · 5,26 MB · SHA-256 491e0fc43b07…8433 · Hugging Face

goat/yolo11n/seed2.pt

pt · 5,25 MB · SHA-256 eb99175d2ec1…1709 · Hugging Face

goat/yolo11s/seed0.pt

pt · 18,3 MB · SHA-256 5ce4b8305c49…ef90 · Hugging Face

goat/yolo11s/seed1.pt

pt · 18,3 MB · SHA-256 1386da392c1a…94b4 · Hugging Face

goat/yolo11s/seed2.pt

pt · 18,3 MB · SHA-256 c482f9d4de2f…5194 · Hugging Face

goat/yolov5m/seed0.pt

pt · 48,2 MB · SHA-256 18c12b0fa3a5…a71f · Hugging Face

Quellenauszüge

2 Auszüge

Readme9. Sept.huggingface.co/KZHIwEI/mdpianimal-models

--- license: agpl-3.0 tags: - object-detection - yolo - animal-individual-identification - ultralytics --- # Edge-Deployed YOLO for Individual Identification of Cattle, Goats, and Mugger Crocodiles PyTorch (Ultralytics) detection checkpoints behind the paper. **81 checkpoints**: 9 detectors (YOLOv5/v8/v11 at n/s/m) × 3 datasets × 3 random seeds. ## Layout ``` <dataset>/<model>/seed{0,1,2}.pt dataset in {cattle, goat, crocodile} ``` `yolov8m` is the headline detector reported in the main text; the full set is the Appendix scale-sweep matrix. ## Training From COCO-pretrained weights, 500 epochs (early-stop patience 100), 640×640, batch 16, AdamW (auto). Strengthened augmentation: mosaic 1.0, HSV-H/S/V 0.02/0.7/0.4, rotation 90°, translate 0.1, scale 0.5, shear 10, perspective 0.0005, flipud 0.5, fliplr 0.0, dropout 0.2. ## Results — mAP@[0.50:0.95] (3-seed mean±SD, held-out test set) | Model | Cattle | Goat | Crocodile | |---|---|---|---| | YOLOv5n | 89.12±0.17 | 79.72±0.77 | 69.87±1.29 | | YOLOv5s | 91.51±0.43 | 81.26±0.51 | 69.79±1.77 | | YOLOv5m | 92.28±0.49 | 83.54±0.09 | 70.58±2.00 | | YOLOv8n | 90.50±0.34 | 83.50±0.37 | 69.60±2.71 | | YOLOv8s | 92.62±0.14 | 83.68±0.73 | 73.25±3.44 | | YOLOv8m | 95.18±0.32 | 84.15±1.65 | 81.20±1.10 | | YOLO11n | 90.48±0.76 | 85.73±0.20 | 75.78±2.87 | | YOLO11s | 93.09±1.14 | 85.04±0.36 | 74.96±4.45 | | YOLO11m | 93.15±1.10 | 84.92±0.66 | 69.09±4.47 | ## Results — [email protected] (3-seed mean±SD) | Model | Cattle | Goat | Crocodile | |---|---|---|---| | YOLOv5n | 99.41±0.14 | 94.75±0.87 | 93.30±1.04 | | YOLOv5s | 99.49±0.01 | 94.78±0.97 | 91.39±1.67 | | YOLOv5m | 99.48±0.00 | 95.25±0.92 | 93.56±1.51 | | YOLOv8n | 99.50±0.00 | 94.35±0.18 | 93.15±1.42 | | YOLOv8s | 99.50±0.00 | 94.14±0.60 | 93.64±0.79 | | YOLOv8m | 99.50±0.00 | 95.97±0.17 | 92.72±1.49 | | YOLO11n | 99.50±0.00 | 95.14±0.82 | 93.35±0.46 | | YOLO11s | 99.50±0.00 | 94.91±0.86 | 93.59±0.20 | | YOLO11m | 99.46±0.05 | 94.73±1.23 | 93.27±0.29 | ## Usage ```python from ultralytics import YOLO m = YOLO("cattle/yolov8m/seed0.pt") m.predict("image.jpg") ``` Datasets (640-px) are in the companion dataset repo `KZHIwEI/mdpianimal`.

Note9. Sept.huggingface.co/KZHIwEI/mdpianimal-models

Source context: 242 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo KZHIwEI/mdpianimal-models