We are evaluating the official picodet_s_416_coco_lcnet.pdparams checkpoint published by PaddleDetection. We understand that the PaddleDetection repository is released under Apache-2.0 and that PP-PicoDet is a PaddleDetection-developed model intended for mobile and industrial deployment.
Could a PaddlePaddle maintainer please confirm in writing whether the following uses are permitted?
- Commercial use of the official PP-PicoDet-S 416
.pdparams checkpoint.
- Fine-tuning that checkpoint on our own authorized basketball videos.
- Converting the fine-tuned derivative weights to ONNX and Core ML.
- Embedding and redistributing the resulting derivative Core ML model inside a closed-source, paid or subscription-based iOS App Store application.
- Retaining the derivative model on users' devices for fully on-device inference.
If these uses are permitted, does Apache-2.0 apply to the official checkpoint and resulting derivative weights, and what copyright, attribution, NOTICE, model-card, or training-data notices must be included in the app or accompanying documentation?
The exact official checkpoint URL is:
https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_lcnet.pdparams
The checkpoint SHA-256 is:
f5d0de89f76a17169badaadff35304eb9f514d5e0c54c44b566d94bba0ea96d2
We would also appreciate confirmation of the checkpoint's training-data lineage and whether PaddlePaddle imposes any additional terms arising from that training data.
We are evaluating the official
picodet_s_416_coco_lcnet.pdparamscheckpoint published by PaddleDetection. We understand that the PaddleDetection repository is released under Apache-2.0 and that PP-PicoDet is a PaddleDetection-developed model intended for mobile and industrial deployment.Could a PaddlePaddle maintainer please confirm in writing whether the following uses are permitted?
.pdparamscheckpoint.If these uses are permitted, does Apache-2.0 apply to the official checkpoint and resulting derivative weights, and what copyright, attribution, NOTICE, model-card, or training-data notices must be included in the app or accompanying documentation?
The exact official checkpoint URL is:
https://paddledet.bj.bcebos.com/models/picodet_s_416_coco_lcnet.pdparamsThe checkpoint SHA-256 is:
f5d0de89f76a17169badaadff35304eb9f514d5e0c54c44b566d94bba0ea96d2We would also appreciate confirmation of the checkpoint's training-data lineage and whether PaddlePaddle imposes any additional terms arising from that training data.