oth_p Image Dataset
Versions
2022-11-08 11:00pm
v38
· 2 years ago
2022-11-08 10:46pm
v37
· 2 years ago
2022-11-08 10:45pm
v36
· 2 years ago
2022-11-08 10:39pm
v35
· 2 years ago
2022-11-08 10:39pm
v34
· 2 years ago
2022-11-08 10:00pm
v33
· 2 years ago
2022-11-08 5:33pm
v32
· 2 years ago
2022-11-08 5:23pm
v31
· 2 years ago
2022-11-08 5:22pm
v30
· 2 years ago
2022-11-08 5:21pm
v29
· 2 years ago
2022-11-08 5:19pm
v28
· 2 years ago
2022-11-08 5:18pm
v27
· 2 years ago
v29
2022-11-08 5:21pm
Generated on Nov 8, 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.
823 Total Images
View All Images
Dataset Split
Train Set 93%
765Images
Valid Set 6%
52Images
Test Set 1%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x320
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 50% of images
Brightness: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 3% of pixels
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