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README.md

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-# offline-video-tagger
-An offline port of the video-tagging-tool for electron.
+# CNTK Object Recognizer Video Tagging Tool
+
+This tool provides end to end support for generating datasets for and validating Object Recognition Models with CNTK.
+
+It supports the following scenarios:
+
+- Computer Assisted Tagging of Objects In Video Using Custom implementation of Camshift Algorithm
+- Export Tags to CNTK format for training a CNTK object recognition model.
+- Running and validating a trained CNTK object recognition model on new videos to generate stronger models. (Windows only for now)
+
+## To Use:
+ 1. Download the release binary.
+ 2. Extract and run the app
+ 3. Load a video.
+ 4. Configure the tagging job specifying the following preferences
+    - Frame Extraction Rate (Number of frames to tag per a second)
+    - Tagging Region Type (Rectangle, Point, Square)
+    - Export Frames Until (How far to export)
+    - Labels (Labels for tagging)
+ 5. Tag the video frame by frame.
+ 6. Export Video to CNTK Format
+ 7. Train model using [CNTK-FastRCNNDetector](https://github.com/CatalystCode/CNTK-FastRCNNDetector).
+ 8. Load new video apply model to new video, validate tags, re-export, retrain
+ 9. Repeat step #8 on new videos until model preformance is satisfactory.  
+
+## Upcoming Features
+- Image Directory Tagging Support
+- Tagging Project Management 
+- UI enhancements