Thing and Athing Detection Image Dataset
Versions
2023-12-17 2:29pm
v15
· 6 months ago
2023-12-17 1:51pm
v14
· 6 months ago
2023-12-17 1:51pm
v13
· 6 months ago
2023-12-15 4:04pm
v12
· 7 months ago
2023-11-30 6:55pm
v11
· 7 months ago
2023-11-10 7:04pm
v10
· 8 months ago
2023-11-02 10:29am
v9
· 8 months ago
2023-11-02 10:25am
v8
· 8 months ago
2023-10-17 10:21am
v5
· 8 months ago
2023-10-10 10:51pm
v4
· 9 months ago
2023-10-10 4:14pm
v3
· 9 months ago
2023-10-03 11:47pm
v2
· 9 months ago
v10
2023-11-10 7:04pm
Generated on Nov 10, 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.
537 Total Images
View All Images
Dataset Split
Train Set 100%
537Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 251x251
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 36% Maximum Zoom
Cutout: 5 boxes with 7% size each
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 4% of pixels
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