Datasets › CompCars
CompCars (Comprehensive Cars)
The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature data contains 163 car makes with 1,716 car models. There are a total of 136,726 images capturing the entire cars and 27,618 images capturing the car parts. The full car images are labeled with bounding boxes and viewpoints. Each car model is labeled with five attributes, including maximum speed, displacement, number of doors, number of seats, and type of car. The surveillance-nature data contains 50,000 car images captured in the front view.
The dataset can be used for the tasks of:
- Fine-grained classification
- Attribute prediction
- Car model verification
The dataset can be also used for other tasks such as image ranking, multi-task learning, and 3D reconstruction.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Fine-Grained Image Classification | CompCars | Resnet50 + PMAL Accuracy 99.1% | Progressive Multi-task Anti-Noise Learning and... | dichao-liu/anti-noise_fgvr | 7 | Compare |
Papers archive 2025-07-28
6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 70. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition | 1 | 1 | 25 Jan 2024 | not harvested |
| Fine-Tuning DARTS for Image Classification | 0 | 1 | 16 Jun 2020 | not harvested |
| Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning | 0 | 1 | 23 Jan 2019 | not harvested |
| Attribute-Aware Attention Model for Fine-grained Representation Learning | 1 | 1 | 2 Jan 2019 | not harvested |
| Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition | 1 | 1 | 4 Apr 2017 | not harvested |
| A Large-Scale Car Dataset for Fine-Grained Categorization and Verification | 3 | 2 | 30 Jun 2015 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Custom (research-only, non-commercial)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- CompCars
1 variant name, as the archive lists them.
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