Update README.md

Author: makseq

label_studio_ml/examples/timeseries_segmenter/README.md

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 # Time Series Segmenter for Label Studio
 
+https://github.com/user-attachments/assets/9f6a7ebb-bf3e-42d5-bde9-087719494f2d
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 This example demonstrates a minimal ML backend that performs time series segmentation.
 It trains a small LSTM neural network on labeled CSV data and predicts segments
 for new tasks. The backend expects the labeling configuration to use
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 **For short time series:**
 - Reduce sequence size (`SEQUENCE_SIZE=20`) for sequences shorter than 50 timesteps
-- Reduce hidden size (`HIDDEN_SIZE=32`) to prevent overfitting
+- Reduce hidden size (`HIDDEN_SIZE=32`) to prevent overfitting