redlightrunningdection

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traffic detection

Object Detection

traffic detection Image Dataset

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Versions
2023-10-16 10:50am
v36
Oct 16, 2023
2023-10-15 1:36pm
v35
Oct 15, 2023
2023-09-16 2:29pm
v34
Sep 16, 2023
2023-09-16 2:11pm
v33
Sep 16, 2023
2023-09-14 1:39pm
v32
Sep 14, 2023
2023-09-08 1:08pm
v31
Sep 8, 2023
2023-09-08 1:05pm
v30
Sep 8, 2023
2023-07-16 2:42pm
v28
Jul 16, 2023
2023-07-07 1:23pm
v27
Jul 7, 2023
ROBOFLOW 3.0 TRAINING v25
v26
Jul 7, 2023
2023-04-30 4:38pm
v25
Apr 30, 2023
2023-04-28 2:36pm
v24
Apr 28, 2023
2023-04-27 8:07pm
v23
Apr 27, 2023
2023-04-06 8:51pm
v20
Apr 6, 2023
2023-03-17 1:13pm
v17
Mar 17, 2023
2023-03-17 11:24am
v15
Mar 17, 2023
2023-03-14 12-05pm
v9
Mar 14, 2023
2023-03-13 10:27pm
v5
Mar 13, 2023
v35

2023-10-15 1:36pm

Generated on Oct 15, 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.
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3524 Total Images

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Dataset Split

Train Set 89%
3135Images
Valid Set 8%
268Images
Test Set 3%
121Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Exposure: Between -13% and +13%
Noise: Up to 9% of pixels