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roboCARe

Object Detection

roboCARe Image Dataset

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Versions
2023-08-25 7:14pm
v18
Aug 25, 2023
2023-08-17 8:55pm
v17
Aug 17, 2023
2023-04-29 2:11pm
v16
Apr 29, 2023
2023-04-29 11:00am
v15
Apr 29, 2023
2023-04-26 9:22pm
v14
Apr 26, 2023
2023-04-21 10:17pm
v12
Apr 21, 2023
2023-04-21 10:14pm
v11
Apr 21, 2023
2023-04-21 4:49pm
v9
Apr 21, 2023
2023-04-16 11:11pm
v8
Apr 16, 2023
2023-04-16 5:08pm
v6
Apr 16, 2023
2023-04-16 4:20pm
v5
Apr 16, 2023
2023-04-16 4:15pm
v4
Apr 16, 2023
2023-04-16 4:10pm
v3
Apr 16, 2023
v12

2023-04-21 10:17pm

Generated on Apr 21, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
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571 Total Images

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Dataset Split

Train Set 89%
510Images
Valid Set 6%
36Images
Test Set 4%
25Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels