claudia_sheinbaum Image Dataset
Versions
2024-05-17 8:00pm
v10
May 18, 2024
2024-05-17 7:32pm
v9
May 18, 2024
2024-05-03 3:56pm
v8
May 3, 2024
2024-05-03 12:40pm
v7
May 3, 2024
2024-03-05 9:46am
v6
Mar 5, 2024
2024-02-20 2:25pm
v5
Feb 20, 2024
2024-02-19 1:10pm
v4
Feb 19, 2024
2024-02-19 11:11am
v3
Feb 19, 2024
2024-02-19 11:01am
v2
Feb 19, 2024
v8
2024-05-03 3:56pm
Generated on May 3, 2024
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.
6107 Total Images
View All ImagesDataset Split
Train Set 98%
6006Images
Valid Set 2%
101Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.25% of pixels
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