Dust It CV contains the machine learnt model based on MobileNetV3 (and all scripts used to build it) for classifying images into common useless categories like (goodwishes, memes, screenshots) with an average precision of 95.5% at 90.2% recall.
However when deployed, user can set the prediction threshold to whatever they desire to adjust the balance between precision and recall.
A TFlite file is attached in the releases. It included metadata and can be used with Tensorflow ML Binding.
- Android App implementing this project : https://github.com/ChiragKalra/Organizo
Chirag Kalra: https://github.com/ChiragKalra
Copyright - 2022 Chirag Kalra
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.