KANNAN-OVERFLOW Image Dataset
Versions
2023-06-14 8:00pm
v14
Jun 14, 2023
2023-05-05 3:01pm
v13
May 5, 2023
2023-05-05 2:59pm
v12
May 5, 2023
2023-05-05 10:12am
v11
May 5, 2023
2023-05-05 7:46am
v10
May 5, 2023
2023-04-21 3:42pm
v9
Apr 21, 2023
2023-03-21 12:18pm
v8
Mar 21, 2023
2023-03-20 10:42am
v7
Mar 20, 2023
2023-03-16 12:44pm
v6
Mar 16, 2023
2023-03-14 7:24pm
v5
Mar 14, 2023
2023-03-14 4:17pm
v4
Mar 14, 2023
2023-03-14 3:50pm
v3
Mar 14, 2023
2023-03-14 9:01am
v2
Mar 14, 2023
2023-03-13 8:18pm
v1
Mar 14, 2023
v10
2023-05-05 7:46am
Generated on May 5, 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.
16121 Total Images
View All Images
Dataset Split
Train Set 87%
14080Images
Valid Set 8%
1326Images
Test Set 4%
715Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Blur: Up to 2.5px
Bounding Box: Brightness: Between -25% and +25%
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