RM detection2 Image Dataset
Versions
2024-01-31 5:24pm
v12
Jan 31, 2024
2024-01-21 1:22pm
v11
Jan 21, 2024
2024-01-21 12:34pm
v10
Jan 21, 2024
2024-01-19 10:16pm
v9
Jan 19, 2024
2024-01-19 10:12pm
v8
Jan 19, 2024
2024-01-19 2:41pm
v7
Jan 19, 2024
2024-01-19 2:34pm
v6
Jan 19, 2024
2024-01-19 2:33pm
v5
Jan 19, 2024
2024-01-19 2:30pm
v4
Jan 19, 2024
2024-01-19 11:41am
v3
Jan 19, 2024
2024-01-19 11:39am
v2
Jan 19, 2024
2024-01-19 11:36am
v1
Jan 19, 2024
v2
2024-01-19 11:39am
Generated on Jan 19, 2024
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.
263 Total Images
View All Images
Dataset Split
Train Set 88%
231Images
Valid Set 8%
20Images
Test Set 5%
12Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.6% of pixels
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