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README.md

@@ -24,11 +24,64 @@ Standout's Cortex FX v3 is a video dataset focusing on human manual labor and ph
 
 ### Dataset Statistics
 
-- **Total Videos**: Videos showing human manual labor
-- **Categories**: 20+ distinct labor categories
+- **Total Videos**: 708 videos showing human manual labor
+- **Categories**: 28 distinct labor categories
+- **Total Frames**: 204,329 frames across all videos
+- **Average Duration**: 10.5 seconds (median: 6.4s)
+- **Average Frame Count**: 289 frames per video (median: 170)
+- **Frame Rate**: Most common FPS is 30.0 (388 videos), range: 15.0-30.0 FPS
+- **Average Aesthetic Score**: 5.89 (out of 10)
+- **Average Motion Score**: 7.64 (out of 10)
 - **Format**: MP4 video files organized by category
 - **Structure**: Videos are split into multiple zip files for easy distribution
 
+#### Top Categories by Video Count:
+
+- **Cooking**: 363 videos (51.3%)
+- **Repair**: 100 videos (14.1%)
+- **Automotive**: 58 videos (8.2%)
+- **Gardening**: 28 videos (4.0%)
+- **Construction**: 22 videos (3.1%)
+- **Serving**: 19 videos (2.7%)
+- **Assembly**: 18 videos (2.5%)
+- **Crafting**: 17 videos (2.4%)
+- **General Labor**: 14 videos (2.0%)
+- **Sewing**: 12 videos (1.7%)
+
+## Dataset Visualization
+
+### Category Distribution
+
+The dataset covers a diverse range of manual labor activities, with cooking being the most represented category:
+
+![Category Distribution](category_distribution.png)
+
+### Video Quality Metrics
+
+All videos in the dataset have been evaluated for quality using three key metrics:
+
+![Quality Metrics](quality_metrics.png)
+
+- **Aesthetic Score**: Measures visual quality and composition (0-10 scale)
+- **Motion Score**: Quantifies the amount and quality of motion in the video (0-10 scale)
+- **Temporal Consistency**: Evaluates frame-to-frame coherence and stability (0-1 scale)
+
+### Video Duration Distribution
+
+The dataset contains videos of varying lengths, with most videos being short clips optimized for action recognition:
+
+![Duration Distribution](duration_distribution.png)
+
+### Frame Count and Frame Rate Distribution
+
+The dataset includes videos with diverse frame counts and frame rates, providing rich temporal information for action recognition tasks:
+
+![Frame and FPS Distribution](frame_fps_distribution.png)
+
+- **Frame Count**: Videos range from short clips (~100 frames) to longer sequences (1000+ frames), with an average of 289 frames per video
+- **Frame Rate**: Most videos are captured at 30 FPS (standard video rate), with some at 25 FPS and 23.976 FPS (cinematic rates)
+- **Temporal Coverage**: The dataset provides over 200,000 total frames, offering substantial data for temporal modeling and action understanding
+
 ## Dataset Structure
 
 The dataset is organized as follows: