ultralytics 8.0.105
classification hyp fix and new onplot
callbacks (#2684)
Co-authored-by: ayush chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Ivan Shcheklein <shcheklein@gmail.com>
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@ -10,4 +10,4 @@ description: Learn how to use ClassificationPredictor in Ultralytics YOLOv8 for
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# predict
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---
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:::ultralytics.yolo.v8.classify.predict.predict
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@ -10,4 +10,4 @@ description: Train a custom image classification model using Ultralytics YOLOv8
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# train
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---
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:::ultralytics.yolo.v8.classify.train.train
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@ -10,4 +10,4 @@ description: Ensure model classification accuracy with Ultralytics YOLO's Classi
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# val
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---
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:::ultralytics.yolo.v8.classify.val.val
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@ -10,4 +10,4 @@ description: Detect and predict objects in images and videos using the Ultralyti
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# predict
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---
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:::ultralytics.yolo.v8.detect.predict.predict
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@ -15,4 +15,4 @@ description: Train and optimize custom object detection models with Ultralytics
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# train
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---
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:::ultralytics.yolo.v8.detect.train.train
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@ -10,4 +10,4 @@ description: Validate YOLOv5 detections using this PyTorch module. Ensure model
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# val
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---
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:::ultralytics.yolo.v8.detect.val.val
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@ -10,4 +10,4 @@ description: Predict human pose coordinates and confidence scores using YOLOv5.
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# predict
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---
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:::ultralytics.yolo.v8.pose.predict.predict
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@ -15,4 +15,4 @@ description: Boost posture detection using PoseTrainer and train models using tr
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# train
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---
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:::ultralytics.yolo.v8.pose.train.train
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@ -10,4 +10,4 @@ description: Ensure proper human poses in images with YOLOv8 Pose Validation, pa
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# val
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---
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:::ultralytics.yolo.v8.pose.val.val
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@ -10,4 +10,4 @@ description: '"Use SegmentationPredictor in YOLOv8 for efficient object detectio
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# predict
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---
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:::ultralytics.yolo.v8.segment.predict.predict
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@ -15,4 +15,4 @@ description: Learn about SegmentationTrainer and Train in Ultralytics YOLO v8 fo
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# train
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---
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:::ultralytics.yolo.v8.segment.train.train
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<br><br>
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@ -10,4 +10,4 @@ description: Ensure segmentation quality on large datasets with SegmentationVali
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# val
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---
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:::ultralytics.yolo.v8.segment.val.val
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