EGH450 Image Dataset
Versions
2022-10-24 3:51pm
v11
Oct 24, 2022
2022-10-17 12:21pm
v10
Oct 17, 2022
2022-09-19 11:16pm
v9
Sep 19, 2022
2022-09-19 9:15am
v8
Sep 18, 2022
2022-09-07 5:28pm
v7
Sep 7, 2022
2022-09-05 11:36pm
v6
Sep 5, 2022
2022-09-05 11:15pm
v5
Sep 5, 2022
2022-09-05 10:29pm
v4
Sep 5, 2022
2022-09-05 9:51pm
v3
Sep 5, 2022
2022-09-05 9:41pm
v2
Sep 5, 2022
2022-09-05 9:26pm
v1
Sep 5, 2022
v10
2022-10-17 12:21pm
Generated on Oct 17, 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.
878 Total Images
View All Images
Dataset Split
Train Set 87%
762Images
Valid Set 8%
70Images
Test Set 5%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%
Blur: Up to 1px
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