deer_take_2 Image Dataset
Versions
2023-10-10 7:32am
v11
Oct 10, 2023
2023-10-09 4:24pm
v10
Oct 9, 2023
2023-10-08 7:19pm
v9
Oct 8, 2023
2023-10-08 7:16pm
v8
Oct 8, 2023
2023-10-08 7:13pm
v7
Oct 8, 2023
2023-10-08 11:56am
v6
Oct 8, 2023
2023-10-08 11:53am
v5
Oct 8, 2023
2023-10-07 8:07pm
v4
Oct 8, 2023
2023-10-03 6:47am
v3
Oct 3, 2023
2023-10-03 6-34am
v2
Oct 3, 2023
2023-09-25 11:06am
v1
Sep 25, 2023
v9
2023-10-08 7:19pm
Generated on Oct 8, 2023
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.
2009 Total Images
View All Images
Dataset Split
Train Set 87%
1755Images
Valid Set 8%
163Images
Test Set 5%
91Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Grayscale: Apply to 18% of images
Saturation: Between -21% and +21%
Brightness: Between -38% and +38%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 3% of pixels
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