chore: import upstream snapshot with attribution

tensorflow/lite/tools/evaluation/tasks/README.md

@@ -0,0 +1,45 @@
+# TFLite Model Task Evaluation
+
+This page describes how you can check the accuracy of quantized models to verify
+that any degradation in accuracy is within acceptable limits.
+
+## Accuracy & correctness
+
+TensorFlow Lite has two types of tooling to measure how accurately a delegate
+behaves for a given model: Task-Based and Task-Agnostic.
+
+**Task-Based Evaluation** TFLite has two tools to evaluate correctness on two
+image-based tasks: - [ILSVRC 2012](http://image-net.org/challenges/LSVRC/2012/)
+(Image Classification) with top-K accuracy -
+[COCO Object Detection](https://cocodataset.org/#detection-2020) (w/ bounding
+boxes) with mean Average Precision (mAP)
+
+**Task-Agnostic Evaluation** For tasks where there isn't an established
+on-device evaluation tool, or if you are experimenting with custom models,
+TensorFlow Lite has the Inference Diff tool.
+
+## Tools
+
+There are three different binaries which are supported. A brief description of
+each is provided below.
+
+### [Inference Diff Tool](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/evaluation/tasks/inference_diff#inference-diff-tool)
+
+This binary compares TensorFlow Lite execution in single-threaded CPU inference
+and user-defined inference.
+
+### [Image Classification Evaluation](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/evaluation/tasks/imagenet_image_classification#image-classification-evaluation-based-on-ilsvrc-2012-task)
+
+This binary evaluates TensorFlow Lite models trained for the
+[ILSVRC 2012 image classification task.](http://www.image-net.org/challenges/LSVRC/2012/)
+
+### [Object Detection Evaluation](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/tools/evaluation/tasks/coco_object_detection#object-detection-evaluation-using-the-2014-coco-minival-dataset)
+
+This binary evaluates TensorFlow Lite models trained for the bounding box-based
+[COCO Object Detection](https://cocodataset.org/#detection-eval) task.
+
+********************************************************************************
+
+For more information visit the TensorFlow Lite guide on
+[Accuracy & correctness](https://www.tensorflow.org/lite/performance/delegates#accuracy_correctness)
+page.