Detection_nomis Image Dataset
Versions
2023-08-21 12:47pm
v32
Aug 21, 2023
2023-08-20 1:25am
v31
Aug 20, 2023
2023-08-16 8:53pm
v30
Aug 17, 2023
2023-08-16 12:38pm
v29
Aug 16, 2023
2023-08-16 11:35am
v28
Aug 16, 2023
2023-08-16 10:07am
v27
Aug 16, 2023
2023-05-28 1:52pm
v26
May 28, 2023
2023-05-28 1:46pm
v25
May 28, 2023
2023-04-10 5:57am
v24
Apr 10, 2023
2023-04-05 10:43pm
v23
Apr 6, 2023
2023-04-05 10:34pm
v22
Apr 6, 2023
2023-04-05 10:25pm
v21
Apr 6, 2023
2023-04-03 1:17pm
v18
Apr 3, 2023
2023-03-21 7:30pm
v17
Mar 21, 2023
2023-03-13 12:03pm
v16
Mar 13, 2023
2023-03-13 1:44am
v15
Mar 13, 2023
2023-03-08 9:58am
v14
Mar 8, 2023
2023-03-06 3:49pm
v13
Mar 6, 2023
2023-03-04 11:36am
v12
Mar 4, 2023
2023-03-02 3:52pm
v11
Mar 2, 2023
2023-03-02 1:56pm
v10
Mar 2, 2023
2023-03-02 12:46am
v9
Mar 2, 2023
2023-03-01 11:28am
v8
Mar 1, 2023
2023-02-21 11:43pm
v7
Feb 22, 2023
2023-02-21 8:01pm
v6
Feb 22, 2023
2023-02-21 3:35pm
v5
Feb 21, 2023
2023-02-21 1:09pm
v4
Feb 21, 2023
2023-02-03 10:45pm
v3
Feb 4, 2023
2023-02-03 2:25am
v2
Feb 3, 2023
2023-02-03 2-23am
v1
Feb 3, 2023
v18
2023-04-03 1:17pm
Generated on Apr 3, 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.
839 Total Images
View All Images
Dataset Split
Train Set 93%
780Images
Valid Set 5%
39Images
Test Set 2%
20Images
Preprocessing
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Crop: 40% Minimum Zoom, 75% Maximum Zoom
Shear: ±33° Horizontal, ±22° Vertical
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Mosaic: Applied
Bounding Box: Exposure: Between -22% and +22%
Bounding Box: Blur: Up to 4.5px
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