aki-008/hackindia_yolo
By aki-008 · ↓ 0 · ♥ 0 · Updated 2025-11-26
What's in this repo
This page lists the files in aki-008/hackindia_yolo, including best.onnx.
- 1 ONNX models (.onnx files)
- 65 files, including 33 .jpg, 19 .png, 6 .yaml, 4 .pt, 1 .csv, 1 .onnx
- Last updated 2025-11-26
ONNX files
| File | Size | Download |
|---|---|---|
| runs/detect/train4/weights/best.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
No README provided by the author.
Files (65)
.gitattributes
args.yaml
detection_result.jpg
labels.jpg
runs/detect/train/args.yaml
runs/detect/train/labels.jpg
runs/detect/train2/args.yaml
runs/detect/train2/labels.jpg
runs/detect/train3/args.yaml
runs/detect/train3/labels.jpg
runs/detect/train3/train_batch0.jpg
runs/detect/train3/train_batch1.jpg
runs/detect/train3/train_batch2.jpg
runs/detect/train4/BoxF1_curve.png
runs/detect/train4/BoxPR_curve.png
runs/detect/train4/BoxP_curve.png
runs/detect/train4/BoxR_curve.png
runs/detect/train4/args.yaml
runs/detect/train4/confusion_matrix.png
runs/detect/train4/confusion_matrix_normalized.png
runs/detect/train4/labels.jpg
runs/detect/train4/results.csv
runs/detect/train4/results.png
runs/detect/train4/train_batch0.jpg
runs/detect/train4/train_batch1.jpg
runs/detect/train4/train_batch2.jpg
runs/detect/train4/train_batch2960.jpg
runs/detect/train4/train_batch2961.jpg
runs/detect/train4/train_batch2962.jpg
runs/detect/train4/val_batch0_labels.jpg
runs/detect/train4/val_batch0_pred.jpg
runs/detect/train4/val_batch1_labels.jpg
runs/detect/train4/val_batch1_pred.jpg
runs/detect/train4/val_batch2_labels.jpg
runs/detect/train4/val_batch2_pred.jpg
runs/detect/train4/weights/best.onnx
ONNX
runs/detect/train4/weights/best.pt
runs/detect/train4/weights/last.pt
runs/detect/val/BoxF1_curve.png
runs/detect/val/BoxPR_curve.png
runs/detect/val/BoxP_curve.png
runs/detect/val/BoxR_curve.png
runs/detect/val/confusion_matrix.png
runs/detect/val/confusion_matrix_normalized.png
runs/detect/val/val_batch0_labels.jpg
runs/detect/val/val_batch0_pred.jpg
runs/detect/val/val_batch1_labels.jpg
runs/detect/val/val_batch1_pred.jpg
runs/detect/val/val_batch2_labels.jpg
runs/detect/val/val_batch2_pred.jpg
runs/detect/val2/BoxF1_curve.png
runs/detect/val2/BoxPR_curve.png
runs/detect/val2/BoxP_curve.png
runs/detect/val2/BoxR_curve.png
runs/detect/val2/confusion_matrix.png
runs/detect/val2/confusion_matrix_normalized.png
runs/detect/val2/val_batch0_labels.jpg
runs/detect/val2/val_batch0_pred.jpg
runs/detect/val2/val_batch1_labels.jpg
runs/detect/val2/val_batch1_pred.jpg
runs/detect/val2/val_batch2_labels.jpg
runs/detect/val2/val_batch2_pred.jpg
yolo11n.pt
yolo11x.pt
yolo2_params.yaml
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