DEGEN101 - Original + Stack Size Image Dataset
Versions
2023-05-09 5:32pm
v12
May 9, 2023
2023-05-09 1:36am
v11
May 9, 2023
2023-05-08 11:59pm
v10
May 9, 2023
2023-05-08 4:33pm
v9
May 8, 2023
2023-05-08 4:31pm
v8
May 8, 2023
2023-05-08 3:38pm
v7
May 8, 2023
2023-05-08 9:34am
v6
May 8, 2023
2023-05-08 5:01am
v5
May 8, 2023
2023-05-08 3:39am
v4
May 8, 2023
2023-05-08 2:17am
v3
May 8, 2023
2023-05-08 12:13am
v2
May 8, 2023
2023-05-07 9:50pm
v1
May 8, 2023
v3
2023-05-08 2:17am
Generated on May 8, 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.
1413 Total Images
View All Images
Dataset Split
Train Set 87%
1233Images
Valid Set 8%
115Images
Test Set 5%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -180° and +180°
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels