Dataset Versions
Versions
2023-12-21 9:55am
v35
· a year ago
Noise - Brightness - DarknessV34
v34
· 2 years ago
Dark_Noise_V33
v33
· 2 years ago
Brightness_Noise_V32
v32
· 2 years ago
20pxBlure_Brightness_V31
v31
· 2 years ago
20pxBlure_Dark_V30
v30
· 2 years ago
20pxBlure_Noise_V29
v29
· 2 years ago
Brightness_V27
v27
· 2 years ago
Brightness_plus_Darkness_30-
v26
· 2 years ago
20px_Blur_V24
v24
· 2 years ago
4500_Val_Data_V21
v21
· 2 years ago
Dark_V19
v19
· 2 years ago
Noise_V18
v18
· 2 years ago
Training Only with 3 Aug
v17
· 2 years ago
Original_Data
v10
· 2 years ago
2023-02-16 7:50am
v8
· 2 years ago
640_size_Apr_2022
v5
· 3 years ago
CustomDatasetPersonCarBusMotorcycle
v1
· 3 years ago
v34
Noise - Brightness - DarknessV34
Generated on Mar 30, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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32109 Total Images
View All ImagesDataset Split
Train Set 100%
32109Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -30% and +30%
Noise: Up to 5% of pixels