c1A@S5_0 Image Dataset
Versions
noise 4
v18
Mar 9, 2022
noise 2
v17
Mar 9, 2022
blur 2.5
v16
Mar 9, 2022
blur 2
v15
Mar 9, 2022
blur 1.5
v14
Mar 9, 2022
blur 1
v13
Mar 9, 2022
exposure 25
v12
Mar 9, 2022
exposure 15
v11
Mar 9, 2022
exposure 10
v10
Mar 9, 2022
exposure 5
v9
Mar 9, 2022
brightness dark 25
v8
Mar 9, 2022
brigjtness 50
v7
Mar 9, 2022
brightness 35
v5
Mar 9, 2022
brightness 15
v4
Mar 9, 2022
greyscale 75
v3
Mar 9, 2022
greyscale 25
v2
Mar 9, 2022
greyscale
v1
Mar 9, 2022
v18
noise 4
Generated on Mar 9, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
321 Total Images
View All Images
Dataset Split
Train Set 92%
294Images
Valid Set 8%
27Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Noise: Up to 4% of pixels
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