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clasificacion-de-mangos/5 (latest)
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Clasificación de mangos
Object Detection
Overview
Images
1334
Dataset
13
Model
2
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-02-21 2:48am
v16
·
a year ago
2024-02-21 2:35am
v15
·
a year ago
2024-02-13 9:46pm
v14
·
a year ago
2024-01-15 10:53pm
v13
·
a year ago
2023-09-20 8:52am
v12
·
2 years ago
2023-09-20 8:38am
v11
·
2 years ago
2023-09-19 11:42pm
v10
·
2 years ago
2023-09-19 10:14pm
v9
·
2 years ago
2023-09-18 1:53am
v8
·
2 years ago
2023-09-18 1:41am
v7
·
2 years ago
2023-09-04 7:24pm
v6
·
2 years ago
2023-07-11 10:42pm
v5
·
2 years ago
2023-06-28 4:11pm
v3
·
2 years ago
v11
2023-09-20 8:38am
Generated on Sep 20, 2023
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Dataset
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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.
CreateML JSON
CreateML JSON format
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1430
Total Images
View All Images
Dataset Split
Train Set
92%
1320
Images
Valid Set
4%
55
Images
Test Set
4%
55
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 608x608
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Hue:
Between -45° and +45°
Saturation:
Between -50% and +50%
Exposure:
Between -12% and +12%
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