Dataset Versions
Versions
boundboxflip
v37
· 3 years ago
noise
v36
· 3 years ago
exposure
v35
· 3 years ago
brightness
v34
· 3 years ago
saturation
v33
· 3 years ago
hue
v32
· 3 years ago
original labelled
v31
· 3 years ago
grayscale
v30
· 3 years ago
shear
v29
· 3 years ago
rotate
v28
· 3 years ago
2021-12-15 3:19pm
v27
· 3 years ago
2021-12-15 3:19pm
v26
· 3 years ago
2021-12-15 3:19pm
v25
· 3 years ago
2021-12-15 3:19pm
v24
· 3 years ago
2021-12-15 3:19pm
v23
· 3 years ago
zoom_60-prcnt
v22
· 3 years ago
2021-12-15 3:17pm
v21
· 3 years ago
2021-12-15 3:17pm
v20
· 3 years ago
2021-12-15 3:16pm
v19
· 3 years ago
2021-12-15 3:16pm
v18
· 3 years ago
2021-12-15 3:16pm
v17
· 3 years ago
2021-12-15 3:16pm
v16
· 3 years ago
2021-12-15 3:16pm
v15
· 3 years ago
2021-12-15 3:16pm
v14
· 3 years ago
2021-12-15 3:16pm
v13
· 3 years ago
2021-12-15 3:16pm
v12
· 3 years ago
2021-12-15 3:16pm
v11
· 3 years ago
2021-12-15 3:14pm
v10
· 3 years ago
90degree-rotate
v9
· 3 years ago
2021-12-15 3:10pm
v8
· 3 years ago
2021-12-15 3:10pm
v7
· 3 years ago
2021-12-15 3:10pm
v6
· 3 years ago
2021-12-15 3:10pm
v5
· 3 years ago
2021-12-15 3:10pm
v4
· 3 years ago
2021-12-15 3:10pm
v3
· 3 years ago
2021-12-15 3:08pm
v2
· 3 years ago
2021-12-15 1:51pm
v1
· 3 years ago
v32
hue
Generated on Dec 15, 2021
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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14 Total Images
View All Images
Dataset Split
Train Set 100%
14Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Hue: Between -24° and +24°