Comments (2)
Hi,
Attached is one of the latest models we trained and is compatible with this repository. Its mAP is around 5% higher than the value originally reported in the paper using a weaker backbone. However, I am quite convinced that it can be fine tuned even further.
Regards,
Eran.
from sku110k_cvpr19.
Hi Eran,
Thank you for sharing your trained network..
Best Regards,
Chalar
from sku110k_cvpr19.
Related Issues (20)
- Wrong classes in dataset, just "object" HOT 3
- Fine-tuning model on custom dataset, num classes > 1
- Where to find annotations_test.csv file? HOT 1
- how to change default directory HOT 1
- Suggestions for compatibility HOT 7
- About the phenomenon of nan in training
- Module 'keras.backend' has no atribute 'tensorflow_backend' HOT 3
- No module named 'keras_resnet' HOT 2
- Please check the score (Table 4) in your paper. HOT 4
- found a bug HOT 1
- Request for sku110k pretrained base model for fine-tuning with own dataset HOT 2
- Is counting result available? Also can this code be used to for a custom dataset or is it just for the SKU110k dataset ?
- Em Merger merge_detections return nothing
- ValueError: invalid CSV annotations file annotations_train.csv: line 1494: y2 (799) must be higher than y1 (799) HOT 1
- Incorrect results - what am I doing wrong? HOT 1
- ValueError: signal only works in main thread
- In predict.py CLA --iou-threshold is not used
- Does anyone implement it with pytorch?
- 110K Category Labels: Each object is labelled as 'object', can you please share the labels of each object? HOT 1
- Training problems in YOLOv5 HOT 5
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