camera Image Dataset
Versions
2023-03-31 6:05pm
v47
Mar 31, 2023
2023-03-07 10:40am
v46
Mar 7, 2023
2023-03-07 10:38am
v45
Mar 7, 2023
2023-03-07 9:40am
v44
Mar 7, 2023
Noise_2X
v43
Feb 18, 2023
2023-02-18 1:14pm
v42
Feb 18, 2023
Blur_2X
v41
Feb 18, 2023
Exposure_2X
v40
Feb 18, 2023
Brightness_2X
v39
Feb 18, 2023
Saturation_2X
v38
Feb 18, 2023
Grayscale_2X
v37
Feb 18, 2023
Crop_2X
v36
Feb 18, 2023
90- Rotate_2X
v35
Feb 18, 2023
Flip_2X
v34
Feb 18, 2023
Noise_1X
v33
Feb 18, 2023
Blur_1X
v32
Feb 18, 2023
Exposure_1X
v31
Feb 18, 2023
Brightness_1X
v30
Feb 18, 2023
Saturation_1X
v29
Feb 18, 2023
Grayscale_1X
v28
Feb 18, 2023
Crop_1X
v26
Feb 18, 2023
90-Rotate_1X
v25
Feb 18, 2023
Flip_1X
v24
Feb 18, 2023
blur_3p
v23
Feb 17, 2023
Saturation
v22
Feb 17, 2023
original
v21
Feb 17, 2023
Grayscale
v20
Feb 17, 2023
Noise
v19
Feb 17, 2023
Blur
v18
Feb 17, 2023
Exposure
v17
Feb 17, 2023
Brightness
v16
Feb 17, 2023
2023-02-17 7:31pm
v15
Feb 17, 2023
Crop
v14
Feb 17, 2023
90- Rotate
v13
Feb 17, 2023
Flip-Horizontal- Vertical
v12
Feb 17, 2023
v47
2023-03-31 6:05pm
Generated on Mar 31, 2023
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.
722 Total Images
View All ImagesDataset Split
Train Set 92%
667Images
Valid Set 8%
55Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -50% and +50%
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