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README.md
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pretty_name: VALERIE22
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size_categories:
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- 1K<n<10K
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pretty_name: VALERIE22
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for VALERIE22
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## Dataset Description
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- **Paper:** tba
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- **Point of Contact:** [email protected]
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### Dataset Summary
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The VALERIE22 dataset was generated with the VALERIE procedural tools pipeline providing a photorealistic sensor simulation rendered from automatically synthesized scenes. The dataset provides a uniquely rich set of metadata, allowing extraction of specific scene and semantic features (like pixel-accurate occlusion rates, positions in the scene and distance + angle to the camera). This enables a multitude of possible tests on the data and we hope to stimulate research on understanding performance of DNNs.
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### Supported Tasks and Leaderboards
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- pedestrian detection
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- 2d object-detection
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- 3d object-detection
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- semantic-segmentation
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- instance-segmentation
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- ai validation
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## Dataset Structure
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- VALERIE22
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- intel_results_sequence_0050
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- ground-truth
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- 2d-bounding-box_json
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- car-camera000-0000-{UUID}-0000.json
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- 3d-bounding-box_json
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- car-camera000-0000-{UUID}-0000.json
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- class-id_png
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- car-camera000-0000-{UUID}-0000.png
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- general-globally-per-frame-analysis_json
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- car-camera000-0000-{UUID}-0000.json
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- car-camera000-0000-{UUID}-0000.csv
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- semantic-group-segmentation_png
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- car-camera000-0000-{UUID}-0000.png
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- semantic-instance-segmentation_png
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- car-camera000-0000-{UUID}-0000.png
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- car-camera000-0000-{UUID}-0000
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- {Entity-ID}
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- metadata
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- car-camera000-0000-{UUID}-0000.json
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- sensor
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- camera
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- left
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- png
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- car-camera000-0000-{UUID}-0000.png
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- png_distorted
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- car-camera000-0000-{UUID}-0000.png
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- intel_results_sequence_0052
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- intel_results_sequence_0054
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- intel_results_sequence_0057
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- intel_results_sequence_0058
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- intel_results_sequence_0059
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- intel_results_sequence_0060
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- intel_results_sequence_0062
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### Data Splits
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Train/Val/Test
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### Licensing Information
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tba
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### Citation Information
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tba
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