Dataset Versions
Versions
2021-05-05 2:58am
v40
· 4 years ago
raccons-modelplace
v39
· 4 years ago
416x416-resize
v38
· 4 years ago
416x416-resize2
v37
· 4 years ago
500x500-augmentations
v34
· 5 years ago
resize500x500-augmentations
v33
· 5 years ago
grant-ex
v32
· 5 years ago
noise-only-6
v31
· 5 years ago
noise-only
v30
· 5 years ago
gray-contrast-noise
v29
· 5 years ago
gray-noise
v28
· 5 years ago
another-one
v27
· 5 years ago
example-less-contrast
v26
· 5 years ago
example-dan
v25
· 5 years ago
reflect-800x400
v24
· 5 years ago
2020-02-25 1:38pm
v23
· 5 years ago
reflect-801x400
v22
· 5 years ago
2020-02-25 1:35pm
v21
· 5 years ago
reflect-800x400
v20
· 5 years ago
reflect-800x400
v19
· 5 years ago
original
v18
· 5 years ago
reflect-test
v17
· 5 years ago
fill-416x416-crop-50
v16
· 5 years ago
crop-50
v15
· 5 years ago
horizontal-shear-15
v14
· 5 years ago
horizontal-shear-15
v13
· 5 years ago
hist-eq
v12
· 5 years ago
reflect-800x400
v11
· 5 years ago
resize-reflect
v10
· 5 years ago
resize416x416
v9
· 5 years ago
resize416x416
v8
· 5 years ago
resize416x416
v7
· 5 years ago
resize-reflect-annotations
v6
· 5 years ago
center-crop-in
v5
· 5 years ago
416x416-resize
v4
· 5 years ago
center-crop-in
v3
· 5 years ago
raw
v2
· 5 years ago
v31
noise-only-6
Generated on Feb 28, 2020
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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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196 Total Images
View All Images
Dataset Split
Train Set 77%
150Images
Valid Set 15%
29Images
Test Set 9%
17Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 1
Noise: Up to 6% of pixels