MMADURO Image Dataset
Versions
2022-04-29 8:10pm
v28
Apr 30, 2022
9 ROT BOUNDING
v27
Apr 21, 2022
GIRO-BOUNDING
v26
Apr 21, 2022
BOUNDING-FLIP-VERTICAL
v25
Apr 21, 2022
BOUNDING-FLIP-HORIZONTAL
v24
Apr 21, 2022
0-35 ZOOM
v23
Apr 21, 2022
0-20
v22
Apr 21, 2022
FLIP-HORIZONTAL
v21
Apr 21, 2022
Flip-vertical
v20
Apr 21, 2022
2022-04-21 1:43am
v19
Apr 21, 2022
2022-04-05 4:50pm
v18
Apr 5, 2022
2022-04-05 1:42pm
v17
Apr 5, 2022
2022-04-05 1:40pm
v16
Apr 5, 2022
2022-04-05 1:31pm
v15
Apr 5, 2022
2022-04-05 1:27pm
v14
Apr 5, 2022
2022-04-05 1:23pm
v13
Apr 5, 2022
2022-04-05 1:21pm
v12
Apr 5, 2022
2022-04-05 12:18am
v11
Apr 5, 2022
2022-04-05 12:17am
v10
Apr 5, 2022
2022-04-05 12:16am
v9
Apr 5, 2022
2022-04-04 4:24pm
v8
Apr 4, 2022
2022-04-04 4:23pm
v7
Apr 4, 2022
2022-04-04 4:22pm
v6
Apr 4, 2022
2022-04-04 4:20pm
v5
Apr 4, 2022
2022-04-04 3:59pm
v4
Apr 4, 2022
2022-04-04 3:58pm
v3
Apr 4, 2022
2022-04-04 3:55pm
v2
Apr 4, 2022
2022-04-04 3:24pm
v1
Apr 4, 2022
v23
0-35 ZOOM
Generated on Apr 21, 2022
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.
30 Total Images
View All Images
Dataset Split
Train Set 100%
30Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 35% Maximum Zoom
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