Dataset Viewer
id
string | time
string | metadata
dict | faces
sequence | boxes
sequence |
|---|---|---|---|---|
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5137417237 | 2010 | {
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26860275570 | 2010 | {
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5299999384 | 2010 | {
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5194657793 | 2010 | {
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6987078324 | 2010 | {
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4592453163 | 2010 | {
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4577850359 | 2010 | {
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5187223979 | 2010 | {
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4248918508 | 2010 | {
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5964468004 | 2010 | {
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4478341471 | 2010 | {
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4861835595 | 2010 | {
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5250208563 | 2010 | {
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5127967596 | 2010 | {
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4860693279 | 2010 | {
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5247536118 | 2010 | {
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End of preview. Expand
in Data Studio
CaMiT: Car Models in Time
CaMiT (Car Models in Time) is a large-scale, fine-grained, time-aware dataset of car images collected from Flickr. It is designed to support research on temporal adaptation in visual models, continual learning, and time-aware generative modeling.
Dataset Highlights
Labeled Subset:
- 787,000 samples
- 190 car models
- 2007–2023
Unlabeled Pretraining Subset:
- 5.1 million samples
- 2005–2023
Metadata includes:
- Image URLs (not the images themselves)
- Upload time
- Bounding boxes
- Tags and licensing
- Face detections
- Car detection scores and class information
All images are linked (not redistributed) using Flickr metadata to respect copyright compliance, in line with LAION and DataComp datasets.
Tasks Supported
- Time-aware fine-grained classification
- Time-incremental continual learning
- In-domain static and incremental pretraining
- Time-aware image generation
Example Use Cases
- Evaluating representation drift over time
- Training classifiers that generalize across time periods
- Studying model degradation and adaptation across years
- Conditioning generation models on temporal context
Related Resource
A separate dataset containing precomputed image embeddings, categorized by car class and year, is available here:
License
CC BY-NC-SA 4.0 – for non-commercial research purposes only.
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