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Download ssam_streets.json from whassan/SensorflowStudio: direct link, hf CLI and curl.
- Browser
- Download file 601 Bytes
-
https://huggingface.co/spaces/whassan/SensorflowStudio/resolve/main/ssam_streets.json
- Command line
-
hf download hf://spaces/whassan/SensorflowStudio/ssam_streets.json
-
curl -L -o ssam_streets.json https://huggingface.co/spaces/whassan/SensorflowStudio/resolve/main/ssam_streets.json
601 Bytes
| [ | |
| { | |
| "street_name": "Market St & 4th St", | |
| "min_ttc": 0.8, | |
| "min_pet": 1.2, | |
| "max_speed": 12.5, | |
| "conflict_type": "Crossing", | |
| "manual_annotation": "Test ssam annotation note" | |
| }, | |
| { | |
| "street_name": "Broadway Blvd", | |
| "min_ttc": 1.6, | |
| "min_pet": 4.5, | |
| "max_speed": 8.0, | |
| "conflict_type": "Rear-end", | |
| "manual_annotation": "High rear-end conflict frequency during commute hours" | |
| }, | |
| { | |
| "street_name": "Mission St & 16th St", | |
| "min_ttc": 0.5, | |
| "min_pet": 0.9, | |
| "max_speed": 15.0, | |
| "conflict_type": "Lane-change", | |
| "manual_annotation": "" | |
| } | |
| ] |