Dataset Versions
Versions
2023-05-24 6:55pm
v33
· 2 years ago
2022-08-27 8:22pm
v32
· 2 years ago
gun dataset may_05_22_2nd
v31
· 3 years ago
gun dataset_may_05_22
v30
· 3 years ago
gun dataset_apr_29_22_2nd
v29
· 3 years ago
Rachel test 2022-04-29 11:34am
v28
· 3 years ago
gun dataset_apr_30_22
v27
· 3 years ago
gun dataset_apr_29_22
v26
· 3 years ago
gun dataset_apr_28_22
v25
· 3 years ago
gun dataset_apr_22_22
v24
· 3 years ago
gun dataset_apr_17_22
v23
· 3 years ago
gun dataset_apr_15_22_edit
v21
· 3 years ago
gun dataset_apr_15_22-4-
v20
· 3 years ago
gun dataset_apr_15_22 -3-
v19
· 3 years ago
gun dataset_apr_15_22-2-
v18
· 3 years ago
gun dataset_apr_15_22
v17
· 3 years ago
gun dataset_apr_12_22
v16
· 3 years ago
gun dataset_apr_08_22 -2-
v15
· 3 years ago
gun dataset_apr_08_22
v14
· 3 years ago
gun dataset_apr_07_22_2
v13
· 3 years ago
gun dataset_apr_07_22
v10
· 3 years ago
gun dataset_mar_25_22
v9
· 3 years ago
gun dataset_mar_16_22
v8
· 3 years ago
gun dataset_mar_03_22
v7
· 3 years ago
gun dataset_feb_24_22
v6
· 3 years ago
gun dataset_feb_22_22
v5
· 3 years ago
gun dataset_feb_18_22
v4
· 3 years ago
gun dataset_feb_17_22 -2-
v3
· 3 years ago
gun dataset_feb_17_22
v2
· 3 years ago
gun dataset_feb_16_22
v1
· 3 years ago
v28
Rachel test 2022-04-29 11:34am
Generated on Apr 29, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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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.
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2422 Total Images
View All Images
Dataset Split
Train Set 77%
1857Images
Valid Set 12%
290Images
Test Set 11%
275Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 100% of images
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -38% and +38%
Bounding Box: Exposure: Between -24% and +24%