Comments (5)
sachinprasadhs
commented on May 26, 2024
AFAIK, YoloV8 follows anchor-free approach, where predictions are made directly than offset from an anchor box.
What is the image resolution you are providing?
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JPmartinez99
commented on May 26, 2024
yes, you are right, im using 640x640, keeping the aspect ratio. The original size is 2100x3100.
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mattdangerw
commented on May 26, 2024
@divyashreepathihalli @sampathweb could one of your take a look?
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divyashreepathihalli
commented on May 26, 2024
@JPmartinez99 for your usecase, maybe you can try adjusting the grid resolution here
You may want to increase the grid resolution to allow the model to better capture elongated objects.
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github-actions
commented on May 26, 2024
This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.
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Related Issues (20)
- Improve documentation on Yolov8 Detector HOT 1
- Keras_NLP Getting Started Tutorial: Mixed Precision Error; AttributeError: 'LossScaleOptimizerV3' HOT 6
- Performance degraded after using the mixup HOT 5
- In keras-io/guides/keras_nlp /transformer_pretraining.py there is an documentation bug HOT 1
- Add example Zero-shot Image Classification with SigLIP / CLIP from scratch using KerasCV and KerasNLP HOT 4
- Add Token Classification / Named Entity Recongnition (NER) Example with KerasNLP HOT 2
- kerascv layers demonstration HOT 3
- Could not find TensorRT HOT 3
- Error occurred in the Named Entity Recognition using Transformers example HOT 6
- Support Distributed Training for Fine-tuning Stable Diffusion Example HOT 5
- kagglecatsanddogs_5340.zip not available to downoad - image_classification_from_scratch.py HOT 2
- Problem with training yolov8 on TPU
- model not converging the sparse categorical accuracy stays same for the whole epochs. HOT 6
- batch out of range & loss value becomes 'nan' when running monocular depth estimation HOT 6
- How to make individual predictions using the FNet example? HOT 4
- Multi-GPU distributed training with PyTorch
- [Movielens Example] Impossibile to save model: Cannot serialize object Ellipsis HOT 2
- TypeError: Sampler.__call__() got an unexpected keyword argument 'end_token_id' HOT 2
- ValueError: The filepath provided must end in `.keras` (Keras model format). Received: filepath=Model_ckpt.h5 HOT 7
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