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Published May 5, 2022 | Version BirdFSD-YOLOv5-v1.0.0-alpha.3
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bird-feeder/BirdFSD-YOLOv5: BirdFSD-YOLOv5-v1.0.0-alpha.3

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Description

Training start time: 2022-05-05T06:16:44 Training duration: 07:08:22 W&B run URL: https://wandb.ai/biodiv/train/runs/1kwzca8y W&B run ID: 1kwzca8y W&B run name: grievous-nexu-55 W&B run path: biodiv/train/1kwzca8y Number of classes: 21 Dataset name: dataset-YOLO-05-05-2022_00.52.52.tar

<details> <summary>System hardware</summary> <table> <tr> <td>CPU count <td>GPU count <td>GPU type <td>NVIDIA driver version <tr> <td>48 <td>1 <td>Tesla V100S-PCIE-32GB <td>470.103.01 </table> </details><details> <summary>Base ML framework</summary> <table> <tr> <td>Python <td>CUDA <td>Torch <td>Torchvision <tr> <td>3.8.13 <td>10.2 <td>1.11.0 <td>0.12.0 </table> </details> <details> <summary>Classes</summary> ```JSON { "American Goldfinch": 118, "American Robin": 9, "Brown-headed Cowbird": 186, "Brown-headed Nuthatch": 2, "Carolina Chickadee": 324, "Carolina Wren": 4, "Chipping Sparrow": 1084, "Dark-eyed Junco": 11, "Downy Woodpecker": 114, "Eastern Bluebird": 5, "Hermit Thrush": 141, "House Finch": 566, "Mourning Dove": 3, "Northern Cardinal": 547, "Red-bellied Woodpecker": 3, "Song Sparrow": 53, "Spotted/Eastern Towhee (Rufous-sided Towhee)": 110, "Tufted Titmouse": 418, "White-throated Sparrow": 32, "Yellow-rumped Warbler": 404, "animal other than bird or squirrel": 3, "cannot identify": 11, "distorted image": 70, "no animal": 424, "severe occultation": 68, "squirrels": 248 } ``` <img src="https://s3.aibird.me/public/hist.jpg" alt="classes-hist"> </details><details> <summary>Validation predictions</summary> <img src="https://s3.aibird.me/public/Validation_100_2ee560dc3c6f1fc17e65.jpg" alt="val-0"> <img src="https://s3.aibird.me/public/Validation_100_48716144b1b63e2450a0.jpg" alt="val-1"> <img src="https://s3.aibird.me/public/Validation_100_5fd8e3ecea960cd6af62.jpg" alt="val-2"> <img src="https://s3.aibird.me/public/Validation_100_640abe6668fae953c679.jpg" alt="val-3"> <img src="https://s3.aibird.me/public/Validation_100_d254cf637d8600efea3e.jpg" alt="val-4"> <img src="https://s3.aibird.me/public/Validation_100_de5785ac8847d2aaa6d4.jpg" alt="val-5"> </details><details> <summary>Confusion matrix</summary> <img src="https://s3.aibird.me/public/Results_100_43066a8e7487a90844a8.png" alt="cm" width="1280" height="720"> </details>

Model performance:

<table> <tr> <td>best/precision <td>best/recall <td>val/box_loss <td>val/cls_loss <td>val/obj_loss <td>F1-score<tr> <td>0.9029 <td>0.9351 <td>0.0143 <td>0.0015 <td>0.005 <td>0.9187</table>

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